matrixsampling: Simulations of Matrix Variate Distributions

Provides samplers for various matrix variate distributions: Wishart, inverse-Wishart, normal, t, inverted-t, Beta type I, Beta type II, Gamma, confluent hypergeometric. Allows to simulate the noncentral Wishart distribution without the integer restriction on the degrees of freedom.

Version: 2.0.0
Imports: stats, keep
Published: 2019-08-24
DOI: 10.32614/CRAN.package.matrixsampling
Author: St├ęphane Laurent
Maintainer: St├ęphane Laurent <laurent_step at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
In views: Distributions
CRAN checks: matrixsampling results


Reference manual: matrixsampling.pdf


Package source: matrixsampling_2.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): matrixsampling_2.0.0.tgz, r-oldrel (arm64): matrixsampling_2.0.0.tgz, r-release (x86_64): matrixsampling_2.0.0.tgz, r-oldrel (x86_64): matrixsampling_2.0.0.tgz
Old sources: matrixsampling archive

Reverse dependencies:

Reverse imports: brokenstick
Reverse suggests: matrixNormal


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