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.

Version: 1.0
Published: 2017-06-04
Author: Hakan Demirtas, Rawan Allozi
Maintainer: Rawan Allozi <ralloz2 at uic.edu>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: MultiRNG results

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Reference manual: MultiRNG.pdf
Package source: MultiRNG_1.0.tar.gz
Windows binaries: r-devel: MultiRNG_1.0.zip, r-release: MultiRNG_1.0.zip, r-oldrel: MultiRNG_1.0.zip
OS X El Capitan binaries: r-release: MultiRNG_1.0.tgz
OS X Mavericks binaries: r-oldrel: MultiRNG_1.0.tgz

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