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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.4 |
rolling linux/jammy R-4.5 | MultiRNG_1.2.4.tar.gz |
64.6 KiB |
1.2.4 |
rolling linux/noble R-4.5 | MultiRNG_1.2.4.tar.gz |
64.5 KiB |
1.2.4 |
rolling source/ R- | MultiRNG_1.2.4.tar.gz |
8.5 KiB |
1.2.4 |
latest linux/jammy R-4.5 | MultiRNG_1.2.4.tar.gz |
64.6 KiB |
1.2.4 |
latest linux/noble R-4.5 | MultiRNG_1.2.4.tar.gz |
64.5 KiB |
1.2.4 |
latest source/ R- | MultiRNG_1.2.4.tar.gz |
8.5 KiB |
1.2.4 |
2026-04-26 source/ R- | MultiRNG_1.2.4.tar.gz |
8.5 KiB |
1.2.4 |
2026-04-23 source/ R- | MultiRNG_1.2.4.tar.gz |
8.5 KiB |
1.2.4 |
2026-04-09 windows/windows R-4.5 | MultiRNG_1.2.4.zip |
67.5 KiB |
1.2.4 |
2025-04-20 source/ R- | MultiRNG_1.2.4.tar.gz |
8.5 KiB |