Package: PoisNor 1.3.3
PoisNor: Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals
Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture. The details of the method are explained in Yahav et al. (2012) <doi:10.1002/asmb.901>.
Authors:
PoisNor_1.3.3.tar.gz
PoisNor_1.3.3.zip(r-4.5)PoisNor_1.3.3.zip(r-4.4)PoisNor_1.3.3.zip(r-4.3)
PoisNor_1.3.3.tgz(r-4.4-any)PoisNor_1.3.3.tgz(r-4.3-any)
PoisNor_1.3.3.tar.gz(r-4.5-noble)PoisNor_1.3.3.tar.gz(r-4.4-noble)
PoisNor_1.3.3.tgz(r-4.4-emscripten)PoisNor_1.3.3.tgz(r-4.3-emscripten)
PoisNor.pdf |PoisNor.html✨
PoisNor/json (API)
| # Install 'PoisNor' in R: |
| install.packages('PoisNor', 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:fd45a990c7. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
| R-4.4-win | OK | Oct 25 2024 |
| R-4.4-mac | OK | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:cmat.starCor.PN.LimitCor.PP.LimitgenPoisNorValid.correlationValidate.correlation
