Package: matrixsampling 2.0.0.90000

Stéphane Laurent

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.

Authors:Stéphane Laurent

matrixsampling_2.0.0.90000.tar.gz
matrixsampling_2.0.0.90000.zip(r-4.7-any)matrixsampling_2.0.0.90000.zip(r-4.6-any)matrixsampling_2.0.0.90000.zip(r-4.5-any)
matrixsampling_2.0.0.90000.tgz(r-4.6-any)matrixsampling_2.0.0.90000.tgz(r-4.5-any)
matrixsampling_2.0.0.90000.tar.gz(r-4.7-any)matrixsampling_2.0.0.90000.tar.gz(r-4.6-any)
matrixsampling_2.0.0.90000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
matrixsampling/json (API)

# Install 'matrixsampling' in R:
install.packages('matrixsampling', repos = c('https://stla.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stla/matrixsampling/issues

On CRAN:

Conda:

simulation

4.56 score 3 stars 2 packages 39 scripts 1.0k downloads 12 exports 1 dependencies

Last updated from:fd36b56fa3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK95
source / vignettesOK156
linux-releaseOK97
macos-releaseOK65
macos-oldrelOK83
windows-develOK62
windows-releaseOK57
windows-oldrelOK47
wasm-releaseOK75

Exports:rinvwishartrmatrixbetarmatrixbetaIIrmatrixCHIIkind2rmatrixCHIkind2rmatrixCHkind1rmatrixgammarmatrixitrmatrixnormalrmatrixtrwishartrwishart_chol

Dependencies:keep