kdecopula: Kernel Smoothing for Bivariate Copula Densities

Provides fast implementations of kernel smoothing techniques for bivariate copula densities, in particular density estimation and resampling, see Nagler (2018) <doi:10.18637/jss.v084.i07>.

Version:	0.9.2
Depends:	R (≥ 3.0.0)
Imports:	lattice, locfit, qrng, Rcpp (≥ 0.11.2), graphics, grDevices, stats, utils, quadprog
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	R.rsp, VineCopula, testthat
Published:	2018-04-09
Author:	Thomas Nagler [aut, cre], Kuangyu Wen [ctb]
Maintainer:	Thomas Nagler <thomas.nagler at tum.de>
BugReports:	https://github.com/tnagler/kdecopula/issues
License:	GPL-3
URL:	https://github.com/tnagler/kdecopula
NeedsCompilation:	yes
Citation:	kdecopula citation info
Materials:	README NEWS
CRAN checks:	kdecopula results

Documentation:

Reference manual:	kdecopula.pdf
Vignettes:	kdecopula

Downloads:

Package source:	kdecopula_0.9.2.tar.gz
Windows binaries:	r-devel: kdecopula_0.9.2.zip, r-release: kdecopula_0.9.2.zip, r-oldrel: kdecopula_0.9.2.zip
macOS binaries:	r-release (arm64): kdecopula_0.9.2.tgz, r-oldrel (arm64): kdecopula_0.9.2.tgz, r-release (x86_64): kdecopula_0.9.2.tgz, r-oldrel (x86_64): kdecopula_0.9.2.tgz
Old sources:	kdecopula archive

Reverse dependencies:

Reverse imports:	kdevine
Reverse suggests:	VineCopula

Linking:

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