The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step at outlook.fr>
BugReports: https://github.com/stla/matrixsampling/issues
License: GPL-3
URL: https://github.com/stla/matrixsampling
NeedsCompilation: no
Materials: README NEWS
In views: Distributions
CRAN checks: matrixsampling results

Documentation:

Reference manual: matrixsampling.pdf

Downloads:

Package source: matrixsampling_2.0.0.tar.gz
Windows binaries: r-devel: matrixsampling_2.0.0.zip, r-release: matrixsampling_2.0.0.zip, r-oldrel: matrixsampling_2.0.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=matrixsampling to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.