* using log directory 'd:/Rcompile/CRANpkg/local/4.0/bmlm.Rcheck' * using R version 4.0.5 (2021-03-31) * using platform: x86_64-w64-mingw32 (64-bit) * using session charset: ISO8859-1 * checking for file 'bmlm/DESCRIPTION' ... OK * this is package 'bmlm' version '1.3.12' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking whether package 'bmlm' can be installed ... ERROR Installation failed. See 'd:/Rcompile/CRANpkg/local/4.0/bmlm.Rcheck/00install.out' for details. * DONE The installation logfile: * installing *source* package 'bmlm' ... ** package 'bmlm' successfully unpacked and MD5 sums checked ** using staged installation Warning messages: 1: In .warning_nowrite(file.path(basename(pkgdir), ...)) : 'bmlm/src/Makevars' already exists. Not overwritten by rstantools.FALSE 2: In .warning_nowrite(file.path(basename(pkgdir), ...)) : 'bmlm/src/Makevars.win' already exists. Not overwritten by rstantools.FALSE ** libs Warning: this package has a non-empty 'configure.win' file, so building only the main architecture make[1]: Entering directory '/d/temp/RtmpOQm1IB/R.INSTALL1addc27f1522b/bmlm/src' d:/Compiler/rtools40/mingw64/bin/g++ -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppParallel/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I"d:/Compiler/gcc-4.9.3/local330/include" -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c init.cpp -o init.o d:/Compiler/rtools40/mingw64/bin/g++ -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppParallel/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I"d:/Compiler/gcc-4.9.3/local330/include" -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_bmlm.cc -o stanExports_bmlm.o In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes] template<> struct is_arithmetic<__m128> { enum { value = true }; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes] template<> struct is_arithmetic<__m128i> { enum { value = true }; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes] template<> struct is_arithmetic<__m128d> { enum { value = true }; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes] template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] struct palign_impl ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes] struct palign_impl ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] struct palign_impl ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] ptranspose(PacketBlock& kernel) { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] ptranspose(PacketBlock& kernel) { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes] ptranspose(PacketBlock& kernel) { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] template<> struct conj_helper { \ ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] template<> struct conj_helper { \ ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] template<> struct conj_helper { \ ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] template<> struct conj_helper { \ ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] shared_ptr( std::auto_ptr && r ): px(r.get()), pn() ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] shared_ptr & operator=( std::auto_ptr & r ) ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] shared_ptr & operator=( std::auto_ptr && r ) ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/aux_/na_assert.hpp:23, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/arg.hpp:25, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/placeholders.hpp:24, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_categories.hpp:16, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_facade.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/range/iterator_range_core.hpp:27, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/lexical_cast.hpp:30, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_args.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:20, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp: At global scope: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] failed ************ (Pred::************ ^ d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] failed ************ (boost::mpl::not_::************ ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1065:84: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_root_proxy& ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1069:84: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_root_proxy& ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1074:99: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_root_with_context_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1078:99: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_root_with_context_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1083:94: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_continuation_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1087:94: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_continuation_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1091:87: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_child_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1095:87: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_child_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1099:101: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_additional_child_of_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1103:101: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_additional_child_of_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isinf(const stan::math::var& a) { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:597:3: note: previous definition of 'constexpr bool std::isinf(long double)' was here isinf(long double __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isinf(const stan::math::var& a) { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:592:3: note: previous definition of 'constexpr bool std::isinf(double)' was here isinf(double __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isinf(const stan::math::var& a) { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:584:3: note: previous definition of 'constexpr bool std::isinf(float)' was here isinf(float __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isnan(const stan::math::var& a) { return isnan(a.val()); } ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:624:3: note: previous definition of 'constexpr bool std::isnan(long double)' was here isnan(long double __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isnan(const stan::math::var& a) { return isnan(a.val()); } ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:619:3: note: previous definition of 'constexpr bool std::isnan(double)' was here isnan(double __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isnan(const stan::math::var& a) { return isnan(a.val()); } ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:611:3: note: previous definition of 'constexpr bool std::isnan(float)' was here isnan(float __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:278, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typedef 'using T_partials_vec = struct Eigen::Matrix::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs] using T_partials_vec = typename Eigen::Matrix; ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of 'template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of 'template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of 'template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of 'template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:328, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:55:34: warning: typedef 'using T_alpha_val = std::conditional_t::value, Eigen::Array::type, -1, 1>, typename stan::partials_return_type::type>' locally defined but not used [-Wunused-local-typedefs] partials_return_t>; ^ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/include/make_fused.hpp:11, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/resize.hpp:28, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint.hpp:25, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr.hpp:34, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:336, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp: At global scope: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] template T * get_pointer(std::auto_ptr const& p) ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from 'class Eigen::Ref >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from 'class Eigen::LLT >, 1>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from 'struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from 'struct Eigen::internal::evaluator > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from 'struct Eigen::internal::traits > >::match > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of 'template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix&, const Eigen::Matrix&)': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase >::Index' locally defined but not used [-Wunused-local-typedefs] using idx_t = typename index_type::type; ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:235:77: required from 'class Eigen::Ref >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix&, const Eigen::Matrix&)': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase >::Index' locally defined but not used [-Wunused-local-typedefs] using idx_t = typename index_type::type; ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from 'class Eigen::Tridiagonalization >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from 'class Eigen::SelfAdjointEigenSolver >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from stanExports_bmlm.cc:5: stanExports_bmlm.h: In member function 'virtual void model_bmlm_namespace::model_bmlm::transform_inits(const stan::io::var_context&, std::vector&, std::vector&, std::ostream*) const': stanExports_bmlm.h:273:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs] typedef double local_scalar_t__; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:227:48: required from 'void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 0>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from 'Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:97:75: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] for (int i = 0; i < dims.size(); i++) { ~~^~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_bmlm.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] int ret = stan::services::error_codes::CONFIG; ^~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, 1, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, 1, true>, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1, 1, true>, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, 1, -1, false>, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from 'Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from 'auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from 'Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from 'auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm; Eigen::MatrixXd = Eigen::Matrix]': d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:91:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] if (p_names.size() != draws.cols()) { ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:109:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] for (size_t i = 0; i < draws.rows(); ++i) { ~~^~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:65: required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm; Eigen::MatrixXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type LhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type RhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type ResPacket; ^~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_cholesky_factor.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:9, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int; bool is_vec = false]': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:64:74: required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:19:15: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'long long int' [-Wsign-compare] if (!(y <= high_vec[n])) { ~~~^~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/diag_pre_multiply.hpp:18:26: required from 'Eigen::Matrix::type, R2, C2> stan::math::diag_pre_multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = 1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]' stanExports_bmlm.h:805:71: required from 'void model_bmlm_namespace::model_bmlm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:26:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/quad_form_diag.hpp:21:33: required from 'Eigen::Matrix::type, -1, -1> stan::math::quad_form_diag(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]' stanExports_bmlm.h:938:53: required from 'void model_bmlm_namespace::model_bmlm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:26:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'void stan::services::get_model_parameters(const Model&, std::vector >&, std::vector >&) [with Model = model_bmlm_namespace::model_bmlm]': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:105:23: required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm; Eigen::MatrixXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:41:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] for (int j = 0; j < dimss[i].size(); ++j) ~~^~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] const int SResPacketHalfSize = unpacket_traits::half>::size; ^~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; ^~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; ^~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; ^~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; ^~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from 'static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long long unsigned int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from 'stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long long unsigned int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from 'static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_vector.hpp:17:50: required from 'Eigen::Matrix stan::math::to_vector(const Eigen::Matrix&) [with T = double; int R = -1; int C = -1]' stanExports_bmlm.h:584:58: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:9: required from 'void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' stanExports_bmlm.h:582:59: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:39:42: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_lpdf(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' stanExports_bmlm.h:582:59: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:38:47: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_lpdf(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' stanExports_bmlm.h:582:59: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_bmlm_namespace::model_bmlm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_bmlm_namespace::model_bmlm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:886:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:35: required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm; Eigen::MatrixXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:377:28: required from 'static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:513:12: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type LhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type RhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type ResPacket; ^~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] conj_helper pcj; ^~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from 'Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]' stanExports_bmlm.h:805:53: required from 'void model_bmlm_namespace::model_bmlm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:26:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type LhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type RhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type ResPacket; ^~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] conj_helper pcj; ^~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:371, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43: required from 'Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long long int; int StorageOrder = 0; int AlignmentType = 0]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return first_aligned::alignment>(array, size); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from 'struct Eigen::internal::evaluator_wrapper_base, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' stanExports_bmlm.h:582:59: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:503, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; ^~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; ^~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_namespace::model_bmlm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from 'Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]' stanExports_bmlm.h:805:53: required from 'void model_bmlm_namespace::model_bmlm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:26:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_namespace::model_bmlm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_namespace::model_bmlm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_namespace::model_bmlm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_namespace::model_bmlm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_namespace::model_bmlm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm.h:533:53: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_namespace::model_bmlm; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_namespace::model_bmlm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_namespace::model_bmlm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_namespace::model_bmlm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_namespace::model_bmlm]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm.h:533:53: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_namespace::model_bmlm; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm.h:533:53: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_namespace::model_bmlm; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm.h:533:53: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_namespace::model_bmlm; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm.h:533:53: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_namespace::model_bmlm; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm.h:533:53: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_namespace::model_bmlm; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm.h:533:53: required from 'T__ model_bmlm_namespace::model_bmlm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_namespace::model_bmlm; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_namespace::model_bmlm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:176:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_bmlm_namespace::model_bmlm; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:79:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from 'std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from 'void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_bmlm_namespace::model_bmlm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from 'std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from 'void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_namespace::model_bmlm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_namespace::model_bmlm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_bmlm_namespace::model_bmlm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from 'std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from 'void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_namespace::model_bmlm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from 'void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:107:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_namespace::model_bmlm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_namespace::model_bmlm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_namespace::model_bmlm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_namespace::model_bmlm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:46, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm.h:6, from stanExports_bmlm.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function] static void set_zero_all_adjoints() { ^~~~~~~~~~~~~~~~~~~~~ d:/Compiler/rtools40/mingw64/bin/g++ -std=gnu++14 -I"D:/RCompile/recent/R-4.0.5/include" -DNDEBUG -I"../inst/include" -I"d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -I'd:/RCompile/CRANpkg/lib/4.0/StanHeaders/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppParallel/include' -I'd:/RCompile/CRANpkg/lib/4.0/rstan/include' -I'd:/RCompile/CRANpkg/lib/4.0/BH/include' -I'd:/RCompile/CRANpkg/lib/4.0/Rcpp/include' -I'd:/RCompile/CRANpkg/lib/4.0/RcppEigen/include' -I"d:/Compiler/gcc-4.9.3/local330/include" -DRCPP_PARALLEL_USE_TBB=1 -I"d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c stanExports_bmlm_binary_y.cc -o stanExports_bmlm_binary_y.o In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:397, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' {aka '__vector(4) float'} [-Wignored-attributes] template<> struct is_arithmetic<__m128> { enum { value = true }; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' {aka '__vector(2) long long int'} [-Wignored-attributes] template<> struct is_arithmetic<__m128i> { enum { value = true }; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' {aka '__vector(2) double'} [-Wignored-attributes] template<> struct is_arithmetic<__m128d> { enum { value = true }; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes] template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] struct palign_impl ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes] struct palign_impl ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] struct palign_impl ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] ptranspose(PacketBlock& kernel) { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] ptranspose(PacketBlock& kernel) { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__vector(2) long long int'} [-Wignored-attributes] ptranspose(PacketBlock& kernel) { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:377, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] template<> struct conj_helper { \ ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__vector(4) float'} [-Wignored-attributes] template<> struct conj_helper { \ ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] template<> struct conj_helper { \ ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__vector(2) double'} [-Wignored-attributes] template<> struct conj_helper { \ ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__vector(4) float'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(4) float'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from 'class Eigen::Quaternion' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/detail/shared_count.hpp:361:33: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:250:65: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:507:31: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:520:22: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] shared_ptr( std::auto_ptr && r ): px(r.get()), pn() ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:603:34: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] shared_ptr & operator=( std::auto_ptr & r ) ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:612:34: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] shared_ptr & operator=( std::auto_ptr && r ) ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/shared_ptr.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/time_clock.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function 'boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)': d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/smart_ptr/shared_ptr.hpp:614:38: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/aux_/na_assert.hpp:23, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/arg.hpp:25, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/placeholders.hpp:24, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_categories.hpp:16, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/iterator/iterator_facade.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/range/iterator_range_core.hpp:27, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/lexical_cast.hpp:30, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_args.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:20, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp: At global scope: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of 'assert_arg' [-Wparentheses] failed ************ (Pred::************ ^ d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of 'assert_not_arg' [-Wparentheses] failed ************ (boost::mpl::not_::************ ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/SparseCore:37, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Sparse:26, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1065:84: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_root_proxy& ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1069:84: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_root_proxy& ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1074:99: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_root_with_context_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1078:99: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_root_with_context_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_root_with_context_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1083:94: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_continuation_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1087:94: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_continuation_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_continuation_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1091:87: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_child_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1095:87: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_child_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_child_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1099:101: warning: optimization attribute on 'void* operator new(size_t, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void *operator new( size_t bytes, const tbb::internal::allocate_additional_child_of_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:168:14: note: previous definition of 'void* operator new(std::size_t, void*)' was here inline void* operator new(std::size_t, void* __p) _GLIBCXX_USE_NOEXCEPT ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_arena.h:20, from d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task_scheduler_observer.h:22, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/init_chainablestack.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:8, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppParallel/include/tbb/task.h:1103:101: warning: optimization attribute on 'void operator delete(void*, const tbb::internal::allocate_additional_child_of_proxy&)' follows definition but the attribute doesn't match [-Wattributes] inline void operator delete( void* task, const tbb::internal::allocate_additional_child_of_proxy& p ) { ^ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/ext/new_allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/x86_64-w64-mingw32/bits/c++allocator.h:33, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/allocator.h:46, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/unordered_map:40, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:153, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/new:174:13: note: previous definition of 'void operator delete(void*, void*)' was here inline void operator delete (void*, void*) _GLIBCXX_USE_NOEXCEPT { } ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isinf(const stan::math::var& a) { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:597:3: note: previous definition of 'constexpr bool std::isinf(long double)' was here isinf(long double __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isinf(const stan::math::var& a) { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:592:3: note: previous definition of 'constexpr bool std::isinf(double)' was here isinf(double __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:49, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isinf.hpp:16:42: warning: optimization attribute on 'int std::isinf(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isinf(const stan::math::var& a) { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:584:3: note: previous definition of 'constexpr bool std::isinf(float)' was here isinf(float __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isnan(const stan::math::var& a) { return isnan(a.val()); } ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:624:3: note: previous definition of 'constexpr bool std::isnan(long double)' was here isnan(long double __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isnan(const stan::math::var& a) { return isnan(a.val()); } ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:619:3: note: previous definition of 'constexpr bool std::isnan(double)' was here isnan(double __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:50, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/std_isnan.hpp:18:42: warning: optimization attribute on 'int std::isnan(const stan::math::var&)' follows definition but the attribute doesn't match [-Wattributes] inline int isnan(const stan::math::var& a) { return isnan(a.val()); } ^ In file included from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/platform/compiler.h:100, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp/r/headers.h:62, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:30, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/cmath:611:3: note: previous definition of 'constexpr bool std::isnan(float)' was here isnan(float __x) ^~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:5, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:278, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp: In function 'stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&)': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:60:74: warning: typedef 'using T_partials_vec = struct Eigen::Matrix::type, -1, 1>' locally defined but not used [-Wunused-local-typedefs] using T_partials_vec = typename Eigen::Matrix; ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 5>, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1>, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::TriangularView >, 2>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of 'template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from 'struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 2>, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 2>, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, 2>, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of 'template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of 'template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of 'template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of 'template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from 'class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:5, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:328, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp: In function 'stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&)': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:55:34: warning: typedef 'using T_alpha_val = std::conditional_t::value, Eigen::Array::type, -1, 1>, typename stan::partials_return_type::type>' locally defined but not used [-Wunused-local-typedefs] partials_return_t>; ^ In file included from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/adapter/fused.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/fusion/include/make_fused.hpp:11, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/resize.hpp:28, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/numeric/odeint.hpp:25, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/arr.hpp:34, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:336, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp: At global scope: d:/RCompile/CRANpkg/lib/4.0/BH/include/boost/get_pointer.hpp:48:40: warning: 'template class std::auto_ptr' is deprecated [-Wdeprecated-declarations] template T * get_pointer(std::auto_ptr const& p) ^~~~~~~~ In file included from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/locale_conv.h:41, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/locale:43, from D:/Compiler/rtools40/mingw64/include/c++/8.3.0/iomanip:43, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/RcppCommon.h:53, from d:/RCompile/CRANpkg/lib/4.0/Rcpp/include/Rcpp.h:27, from stanExports_bmlm_binary_y.cc:3: D:/Compiler/rtools40/mingw64/include/c++/8.3.0/bits/unique_ptr.h:53:28: note: declared here template class auto_ptr; ^~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:193:76: required from 'class Eigen::Ref >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from 'class Eigen::LLT >, 1>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from 'struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from 'struct Eigen::internal::evaluator > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:44:26: required from 'struct Eigen::internal::traits > >::match > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:200:63: required by substitution of 'template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vv_vari::var_squared_distance(const Eigen::Matrix&, const Eigen::Matrix&)': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:27:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase >::Index' locally defined but not used [-Wunused-local-typedefs] using idx_t = typename index_type::type; ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from 'class Eigen::RefBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Ref.h:235:77: required from 'class Eigen::Ref >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:51, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp: In static member function 'static double stan::math::internal::squared_distance_vd_vari::var_squared_distance(const Eigen::Matrix&, const Eigen::Matrix&)': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:64:54: warning: typedef 'using idx_t = using type = Eigen::EigenBase >::Index' locally defined but not used [-Wunused-local-typedefs] using idx_t = typename index_type::type; ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from 'class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from 'class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from 'class Eigen::Tridiagonalization >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from 'class Eigen::SelfAdjointEigenSolver >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of 'template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from stanExports_bmlm_binary_y.cc:5: stanExports_bmlm_binary_y.h: In member function 'virtual void model_bmlm_binary_y_namespace::model_bmlm_binary_y::transform_inits(const stan::io::var_context&, std::vector&, std::vector&, std::ostream*) const': stanExports_bmlm_binary_y.h:276:24: warning: typedef 'local_scalar_t__' locally defined but not used [-Wunused-local-typedefs] typedef double local_scalar_t__; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:227:48: required from 'void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 0>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from 'Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long unsigned int]': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:97:75: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] for (int i = 0; i < dims.size(); i++) { ~~^~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp: In instantiation of 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:74:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector >::size_type' {aka 'long long unsigned int'} [-Wsign-compare] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from 'Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]': stanExports_bmlm_binary_y.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1238:9: warning: variable 'ret' set but not used [-Wunused-but-set-variable] int ret = stan::services::error_codes::CONFIG; ^~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, 1, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, 1, true>, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, -1, 1, true>, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, 1, -1, false>, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock >, 1, -1, false>, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from 'Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from 'auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from 'Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from 'Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from 'auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from 'auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; Eigen::MatrixXd = Eigen::Matrix]': d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:91:22: warning: comparison of integer expressions of different signedness: 'std::vector >::size_type' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] if (p_names.size() != draws.cols()) { ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:109:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare] for (size_t i = 0; i < draws.rows(); ++i) { ~~^~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:65: required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; Eigen::MatrixXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type LhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type RhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type ResPacket; ^~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_cholesky_factor.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat.hpp:9, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:12, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp: In instantiation of 'static void stan::math::internal::less_or_equal::check(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int; bool is_vec = false]': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:64:74: required from 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&) [with T_y = long long unsigned int; T_high = long long int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:79:36: required from 'std::vector stan::io::array_var_context::validate_dims(const std::vector >&, T, const std::vector >&) [with T = long long int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/io/array_var_context.hpp:118:75: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_less_or_equal.hpp:19:15: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'long long int' [-Wsign-compare] if (!(y <= high_vec[n])) { ~~~^~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/diag_pre_multiply.hpp:18:26: required from 'Eigen::Matrix::type, R2, C2> stan::math::diag_pre_multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = 1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]' stanExports_bmlm_binary_y.h:783:71: required from 'void model_bmlm_binary_y_namespace::model_bmlm_binary_y::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:26:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/quad_form_diag.hpp:21:33: required from 'Eigen::Matrix::type, -1, -1> stan::math::quad_form_diag(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]' stanExports_bmlm_binary_y.h:916:53: required from 'void model_bmlm_binary_y_namespace::model_bmlm_binary_y::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:26:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:52, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp: In instantiation of 'void stan::services::get_model_parameters(const Model&, std::vector >&, std::vector >&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]': d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:105:23: required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; Eigen::MatrixXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:41:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector::size_type' {aka 'long long unsigned int'} [-Wsign-compare] for (int j = 0; j < dimss[i].size(); ++j) ~~^~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, 1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] const int SResPacketHalfSize = unpacket_traits::half>::size; ^~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; ^~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; ^~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; ^~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; ^~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:370, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename find_best_packet_helper::type>::type type; ^~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) long long int'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from 'static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long long unsigned int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from 'stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long long unsigned int]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from 'bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from 'bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from 'static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from 'class Eigen::internal::visitor_evaluator, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/to_vector.hpp:17:50: required from 'Eigen::Matrix stan::math::to_vector(const Eigen::Matrix&) [with T = double; int R = -1; int C = -1]' stanExports_bmlm_binary_y.h:567:58: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from 'int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from 'void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:9: required from 'void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from 'class Eigen::InverseImpl >, Eigen::SolverStorage>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from 'class Eigen::Inverse > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:862:7: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' stanExports_bmlm_binary_y.h:565:59: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:39:42: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_lpdf(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' stanExports_bmlm_binary_y.h:565:59: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:38:47: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_lpdf(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' stanExports_bmlm_binary_y.h:565:59: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from 'double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from 'int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from 'int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:886:18: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:113:35: required from 'int stan::services::standalone_generate(const Model&, const MatrixXd&, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; Eigen::MatrixXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1239:46: required from 'SEXPREC* rstan::stan_fit::standalone_gqs(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:30:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:193:21: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:182:17: required from 'static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; Eigen::internal::general_matrix_matrix_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:228:14: required from 'void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:98:7: required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:487:9: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:456:20: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:377:28: required from 'static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:513:12: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type LhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type RhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type ResPacket; ^~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from 'Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from 'void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from 'Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] conj_helper pcj; ^~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from 'Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from 'const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from 'void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:427:63: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Plain1>, Xpr2>&, const Rhs&, const Func&) [with Dst = Eigen::Matrix; Scalar1 = double; Scalar2 = double; Plain1 = const Eigen::Matrix; Xpr2 = const Eigen::Matrix; Func = Eigen::internal::assign_op; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:433:32: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from 'Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]' stanExports_bmlm_binary_y.h:783:53: required from 'void model_bmlm_binary_y_namespace::model_bmlm_binary_y::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:26:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type LhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type RhsPacket; ^~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] typedef typename conditional::type ResPacket; ^~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9: required from 'static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:499, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from 'static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from 'Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] conj_helper pcj; ^~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:496, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] PacketBlock kernel; ^~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:371, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43: required from 'Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long long int; int StorageOrder = 0; int AlignmentType = 0]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from 'static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return first_aligned::alignment>(array, size); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from 'struct Eigen::internal::evaluator_wrapper_base, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from 'struct Eigen::internal::unary_evaluator, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:19:58: required from 'stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with bool propto = false; T_covar = double; T_shape = double; stan::return_type_t = double]' stanExports_bmlm_binary_y.h:565:59: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from 'int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:488:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from 'static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:503, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:772:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; ^~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; ^~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Block, -1, -1, false>; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from 'Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, -1, 1, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from 'static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: required from 'static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const LhsT&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; LhsT = Eigen::Transpose, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:32: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from 'Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]' stanExports_bmlm_binary_y.h:783:53: required from 'void model_bmlm_binary_y_namespace::model_bmlm_binary_y::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1091:5: required from 'SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:26:89: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from 'static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm_binary_y.h:516:53: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_binary_y_namespace::model_bmlm_binary_y; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from 'const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from 'Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from 'int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from 'int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:503:41: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 2; bool Conjugate = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from 'void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:624:37: required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1201:18: required from 'SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:15:87: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Matrix >, 1, -1, false>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:76: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from 'Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm_binary_y.h:516:53: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_binary_y_namespace::model_bmlm_binary_y; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm_binary_y.h:516:53: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_binary_y_namespace::model_bmlm_binary_y; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm_binary_y.h:516:53: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_binary_y_namespace::model_bmlm_binary_y; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from 'const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long long int]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm_binary_y.h:516:53: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_binary_y_namespace::model_bmlm_binary_y; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:445, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] enum { ^ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm_binary_y.h:516:53: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_binary_y_namespace::model_bmlm_binary_y; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from 'stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from 'Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]' stanExports_bmlm_binary_y.h:516:53: required from 'T__ model_bmlm_binary_y_namespace::model_bmlm_binary_y::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from 'double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bmlm_binary_y_namespace::model_bmlm_binary_y; std::ostream = std::basic_ostream]' d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:1169:49: required from 'SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]' stanExports_bmlm_binary_y.cc:23:88: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Core:439, from d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/Dense:1, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:3, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:176:21: required from 'stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:79:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from 'std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from 'void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from 'std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from 'void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from 'double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] return internal::first_aligned::alignment),Derived>(m); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from 'std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from 'void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long long int]': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from 'class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:818:7: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from 'void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:107:16: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] >::type PacketReturnType; ^~~~~~~~~~~~~~~~ d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from 'Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from 'Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]' d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from 'Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from 'double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bmlm_binary_y_namespace::model_bmlm_binary_y; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]' d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here d:/RCompile/CRANpkg/lib/4.0/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__vector(2) double'} [-Wignored-attributes] In file included from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core.hpp:46, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/mat.hpp:6, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/model/test_gradients.hpp:7, from d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/stan_fit.hpp:35, from d:/RCompile/CRANpkg/lib/4.0/rstan/include/rstan/rstaninc.hpp:4, from stanExports_bmlm_binary_y.h:6, from stanExports_bmlm_binary_y.cc:5: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp: At global scope: d:/RCompile/CRANpkg/lib/4.0/StanHeaders/include/stan/math/rev/core/set_zero_all_adjoints.hpp:14:13: warning: 'void stan::math::set_zero_all_adjoints()' defined but not used [-Wunused-function] static void set_zero_all_adjoints() { ^~~~~~~~~~~~~~~~~~~~~ cc1plus.exe: out of memory allocating 123848 bytes make[1]: *** [D:/RCompile/recent/R-4.0.5/etc/x64/Makeconf:227: stanExports_bmlm_binary_y.o] Error 1 make[1]: Leaving directory '/d/temp/RtmpOQm1IB/R.INSTALL1addc27f1522b/bmlm/src' ERROR: compilation failed for package 'bmlm' * removing 'd:/Rcompile/CRANpkg/lib/4.0/bmlm' * restoring previous 'd:/Rcompile/CRANpkg/lib/4.0/bmlm'