Package: MultiRNG 1.2.4
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>.
Authors:
MultiRNG_1.2.4.tar.gz
MultiRNG_1.2.4.zip(r-4.5)MultiRNG_1.2.4.zip(r-4.4)MultiRNG_1.2.4.zip(r-4.3)
MultiRNG_1.2.4.tgz(r-4.4-any)MultiRNG_1.2.4.tgz(r-4.3-any)
MultiRNG_1.2.4.tar.gz(r-4.5-noble)MultiRNG_1.2.4.tar.gz(r-4.4-noble)
MultiRNG_1.2.4.tgz(r-4.4-emscripten)MultiRNG_1.2.4.tgz(r-4.3-emscripten)
MultiRNG.pdf |MultiRNG.html✨
MultiRNG/json (API)
| # Install 'MultiRNG' in R: |
| install.packages('MultiRNG', repos = c('https://bernice0321.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:b22e29bbc0. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 17 2024 |
| R-4.5-win | OK | Oct 17 2024 |
| R-4.5-linux | OK | Oct 17 2024 |
| R-4.4-win | OK | Oct 17 2024 |
| R-4.4-mac | OK | Oct 17 2024 |
| R-4.3-win | OK | Oct 17 2024 |
| R-4.3-mac | OK | Oct 17 2024 |
Exports:draw.correlated.binarydraw.d.variate.normaldraw.d.variate.tdraw.d.variate.uniformdraw.dirichletdraw.dirichlet.multinomialdraw.inv.wishartdraw.multinomialdraw.multivariate.hypergeometricdraw.multivariate.laplacedraw.wishartgenerate.point.in.sphereloc.min
Dependencies:
