gllvm: Generalized Linear Latent Variable Models

Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>). For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.

Version: 1.3.1
Depends: R (≥ 3.5.0), TMB, mvabund
Imports: MASS, Matrix, statmod, fishMod, mgcv
LinkingTo: TMB, RcppEigen
Suggests: rmarkdown, testthat, gclus, corrplot, lattice
Published: 2021-07-28
Author: Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Sara Taskinen [aut], David I. Warton [aut], Bert van der Veen [aut]
Maintainer: Jenni Niku <jenni.m.e.niku at jyu.fi>
BugReports: https://github.com/JenniNiku/gllvm/issues
License: GPL-2
URL: https://github.com/JenniNiku/gllvm
NeedsCompilation: yes
Citation: gllvm citation info
Materials: README NEWS
CRAN checks: gllvm results

Documentation:

Reference manual: gllvm.pdf

Downloads:

Package source: gllvm_1.3.1.tar.gz
Windows binaries: r-devel: gllvm_1.3.1.zip, r-release: gllvm_1.3.1.zip, r-oldrel: gllvm_1.3.1.zip
macOS binaries: r-release (arm64): gllvm_1.3.1.tgz, r-oldrel (arm64): gllvm_1.3.1.tgz, r-release (x86_64): gllvm_1.3.1.tgz, r-oldrel (x86_64): gllvm_1.3.1.tgz
Old sources: gllvm archive

Reverse dependencies:

Reverse suggests: ecostats

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