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MultiDiscreteRNG  

Generate Multivariate Discrete Data
View on CRAN: Click here


Download and install MultiDiscreteRNG package within the R console
Install from CRAN:
install.packages("MultiDiscreteRNG")

Install from Github:
library("remotes")
install_github("cran/MultiDiscreteRNG")

Install by package version:
library("remotes")
install_version("MultiDiscreteRNG", "0.1.0")



Attach the package and use:
library("MultiDiscreteRNG")
Maintained by
Chak Kwong (Tommy) Cheng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-25
Latest Update: 2026-02-25
Description:
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>.
How to cite:
Chak Kwong (Tommy) Cheng (2026). MultiDiscreteRNG: Generate Multivariate Discrete Data. R package version 0.1.0, https://cran.r-project.org/web/packages/MultiDiscreteRNG. Accessed 21 Aug. 2026.
Previous versions and publish date:
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Complete documentation for MultiDiscreteRNG
Functions, R codes and Examples using the MultiDiscreteRNG R package
Full MultiDiscreteRNG package functions and examples
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