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: 1.2.1
Published: 2019-02-24
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

Downloads:

Reference manual: MultiRNG.pdf
Package source: MultiRNG_1.2.1.tar.gz
Windows binaries: r-devel: MultiRNG_1.2.1.zip, r-release: MultiRNG_1.2.1.zip, r-oldrel: MultiRNG_1.2.1.zip
OS X binaries: r-release: MultiRNG_1.2.1.tgz, r-oldrel: MultiRNG_1.2.1.tgz
Old sources: MultiRNG archive

Reverse dependencies:

Reverse suggests: phenology

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