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
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matrixsampling.pdf |matrixsampling.html✨
matrixsampling/json (API)
NEWS

# 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

4.22 score 3 stars 1 packages 37 scripts 334 downloads 12 exports 1 dependencies

Last updated 6 years agofrom:fd36b56fa3. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:rinvwishartrmatrixbetarmatrixbetaIIrmatrixCHIIkind2rmatrixCHIkind2rmatrixCHkind1rmatrixgammarmatrixitrmatrixnormalrmatrixtrwishartrwishart_chol

Dependencies:keep