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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>.

Version: 1.2.4
Published: 2021-03-05
DOI: 10.32614/CRAN.package.MultiRNG
Author: Hakan Demirtas, Rawan Allozi, Ran Gao
Maintainer: Ran Gao <rgao8 at uic.edu>
License: GPL-2 | GPL-3
NeedsCompilation: no
In views: Distributions
CRAN checks: MultiRNG results

Documentation:

Reference manual: MultiRNG.pdf

Downloads:

Package source: MultiRNG_1.2.4.tar.gz
Windows binaries: r-devel: MultiRNG_1.2.4.zip, r-release: MultiRNG_1.2.4.zip, r-oldrel: MultiRNG_1.2.4.zip
macOS binaries: r-release (arm64): MultiRNG_1.2.4.tgz, r-oldrel (arm64): MultiRNG_1.2.4.tgz, r-release (x86_64): MultiRNG_1.2.4.tgz, r-oldrel (x86_64): MultiRNG_1.2.4.tgz
Old sources: MultiRNG archive

Reverse dependencies:

Reverse imports: PDFEstimator
Reverse suggests: phenology

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MultiRNG to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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