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MultiDiscreteRNG: Generate Multivariate Discrete Data

Generate multivariate discrete data with generalized Poisson, negative binomial and binomial marginal distributions using user-specified distribution parameters and a target correlation matrix. The method is described in Cheng and Demirtas (2026) <doi:10.48550/arXiv.2602.07707>.

Version: 0.1.0
Imports: GenOrd, Matrix, MultiOrd, matrixcalc, mvtnorm
Suggests: testthat (≥ 3.0.0)
Published: 2026-02-25
DOI: 10.32614/CRAN.package.MultiDiscreteRNG
Author: Chak Kwong (Tommy) Cheng ORCID iD [aut, cre, cph], Hakan Demirtas ORCID iD [aut]
Maintainer: Chak Kwong (Tommy) Cheng <ccheng46 at uic.edu>
BugReports: https://github.com/ckchengtommy/MultiDiscreteRNG/issues
License: GPL-3
URL: https://github.com/ckchengtommy/MultiDiscreteRNG
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: MultiDiscreteRNG results

Documentation:

Reference manual: MultiDiscreteRNG.html , MultiDiscreteRNG.pdf

Downloads:

Package source: MultiDiscreteRNG_0.1.0.tar.gz
Windows binaries: r-devel: MultiDiscreteRNG_0.1.0.zip, r-release: MultiDiscreteRNG_0.1.0.zip, r-oldrel: MultiDiscreteRNG_0.1.0.zip
macOS binaries: r-release (arm64): MultiDiscreteRNG_0.1.0.tgz, r-oldrel (arm64): MultiDiscreteRNG_0.1.0.tgz, r-release (x86_64): MultiDiscreteRNG_0.1.0.tgz, r-oldrel (x86_64): MultiDiscreteRNG_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MultiDiscreteRNG 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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