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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.3 |
rolling linux/jammy R-4.5 | PoisNor_1.3.3.tar.gz |
38.3 KiB |
1.3.3 |
rolling linux/noble R-4.5 | PoisNor_1.3.3.tar.gz |
38.3 KiB |
1.3.3 |
rolling source/ R- | PoisNor_1.3.3.tar.gz |
5.8 KiB |
1.3.3 |
latest linux/jammy R-4.5 | PoisNor_1.3.3.tar.gz |
38.3 KiB |
1.3.3 |
latest linux/noble R-4.5 | PoisNor_1.3.3.tar.gz |
38.3 KiB |
1.3.3 |
latest source/ R- | PoisNor_1.3.3.tar.gz |
5.8 KiB |
1.3.3 |
2026-04-26 source/ R- | PoisNor_1.3.3.tar.gz |
5.8 KiB |
1.3.3 |
2026-04-23 source/ R- | PoisNor_1.3.3.tar.gz |
5.8 KiB |
1.3.3 |
2026-04-09 windows/windows R-4.5 | PoisNor_1.3.3.zip |
41.0 KiB |
1.3.3 |
2025-04-20 source/ R- | PoisNor_1.3.3.tar.gz |
5.8 KiB |