CholWishart: Cholesky Decomposition of the Wishart Distribution

Sampling from the Cholesky factorization of a Wishart random variable, sampling from the inverse Wishart distribution, sampling from the Cholesky factorization of an inverse Wishart random variable, sampling from the pseudo Wishart distribution, sampling from the generalized inverse Wishart distribution, computing densities for the Wishart and inverse Wishart distributions, and computing the multivariate gamma and digamma functions. Provides a header file so the C functions can be called directly from other programs.

Version:	1.1.2
Depends:	R (≥ 3.6)
Suggests:	testthat, knitr, rmarkdown, covr
Published:	2021-10-08
Author:	Geoffrey Thompson [aut, cre], R Core Team [ctb] CholWishart author details
Maintainer:	Geoffrey Thompson <gzthompson at gmail.com>
BugReports:	https://github.com/gzt/CholWishart/issues
License:	GPL (≥ 3)
URL:	https://github.com/gzt/CholWishart https://gzt.github.io/CholWishart/
NeedsCompilation:	yes
Language:	en-us
Materials:	README NEWS
CRAN checks:	CholWishart results

Documentation:

Reference manual:	CholWishart.pdf
Vignettes:	Some Distributions Related to the Wishart

Downloads:

Package source:	CholWishart_1.1.2.tar.gz
Windows binaries:	r-devel: CholWishart_1.1.2.zip, r-release: CholWishart_1.1.2.zip, r-oldrel: CholWishart_1.1.2.zip
macOS binaries:	r-release (arm64): CholWishart_1.1.2.tgz, r-oldrel (arm64): CholWishart_1.1.2.tgz, r-release (x86_64): CholWishart_1.1.2.tgz, r-oldrel (x86_64): CholWishart_1.1.2.tgz
Old sources:	CholWishart archive

Reverse dependencies:

Reverse imports:	bayesWatch, bgsmtr, bspcov, CausalMBSTS, CovCombR, dyads, MixMatrix, singcar, vglmer
Reverse linking to:	bayesWatch

Linking:

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