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MultiRNG  

Multivariate Pseudo-Random Number Generation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MultiRNG", "1.2.4")



Attach the package and use:
library("MultiRNG")
Maintained by
Ran Gao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-04
Latest Update: 2021-03-05
Description:
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) .
How to cite:
Ran Gao (2017). MultiRNG: Multivariate Pseudo-Random Number Generation. R package version 1.2.4, https://cran.r-project.org/web/packages/MultiRNG. Accessed 07 Aug. 2026.
Previous versions and publish date:
1.0 (2017-06-04 08:01), 1.1 (2018-01-10 21:14), 1.2.1 (2019-02-24 23:10), 1.2.2 (2019-05-14 22:30), 1.2.3 (2020-03-29 23:40), 1.2 (2019-02-24 17:00), (2026-07-09 08:11)
Other packages that cited MultiRNG R package
View MultiRNG citation profile
Other R packages that MultiRNG depends, imports, suggests or enhances
Complete documentation for MultiRNG
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