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-4.5)MultiRNG_1.2.4.zip(r-4.4)MultiRNG_1.2.4.zip(r-4.3)
MultiRNG_1.2.4.tgz(r-4.4-any)MultiRNG_1.2.4.tgz(r-4.3-any)
MultiRNG_1.2.4.tar.gz(r-4.5-noble)MultiRNG_1.2.4.tar.gz(r-4.4-noble)
MultiRNG_1.2.4.tgz(r-4.4-emscripten)MultiRNG_1.2.4.tgz(r-4.3-emscripten)
MultiRNG.pdf |MultiRNG.html
MultiRNG/json (API)

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

Peer review:

On CRAN:

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

2.12 score 1 packages 44 scripts 528 downloads 1 mentions 13 exports 0 dependencies

Last updated 4 years agofrom:b22e29bbc0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

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: