Package: MultiRNG 1.2.4

MultiRNG: Multivariate Pseudo-Random Number Generation

Pseudo-random number generation for 11 multivariate distributions: Normal, t, Uniform, Bernoulli, Hypergeometric, Beta (Dirichlet), Multinomial, Dirichlet-Multinomial, Laplace, Wishart, and Inverted Wishart. The details of the method are explained in Demirtas (2004) <doi:10.22237/jmasm/1099268340>.

Authors:Hakan Demirtas, Rawan Allozi, Ran Gao

MultiRNG_1.2.4.tar.gz
MultiRNG_1.2.4.zip(r-4.7)MultiRNG_1.2.4.zip(r-4.6)MultiRNG_1.2.4.zip(r-4.5)
MultiRNG_1.2.4.tgz(r-4.6-any)MultiRNG_1.2.4.tgz(r-4.5-any)
MultiRNG_1.2.4.tar.gz(r-4.7-any)MultiRNG_1.2.4.tar.gz(r-4.6-any)
MultiRNG_1.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MultiRNG/json (API)

# Install 'MultiRNG' in R:
install.packages('MultiRNG', repos = c('https://bernice0321.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.27 score 1 packages 62 scripts 469 downloads 1 mentions 13 exports 0 dependencies

Last updated from:b22e29bbc0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK123
linux-release-x86_64OK120
macos-release-arm64OK77
macos-oldrel-arm64OK100
windows-develOK67
windows-releaseOK105
windows-oldrelOK80
wasm-releaseOK86

Exports:draw.correlated.binarydraw.d.variate.normaldraw.d.variate.tdraw.d.variate.uniformdraw.dirichletdraw.dirichlet.multinomialdraw.inv.wishartdraw.multinomialdraw.multivariate.hypergeometricdraw.multivariate.laplacedraw.wishartgenerate.point.in.sphereloc.min

Dependencies: