PoisBinNonNor
Data Generation with Poisson, Binary and Continuous Components
Generation of multiple count, binary and continuous variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution. The details of the method are explained in Amatya et al. (2015) <DOI:10.1080/00949655.2014.953534>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.3 |
rolling linux/jammy R-4.5 | PoisBinNonNor_1.3.3.tar.gz |
100.2 KiB |
1.3.3 |
rolling linux/noble R-4.5 | PoisBinNonNor_1.3.3.tar.gz |
100.3 KiB |
1.3.3 |
rolling source/ R- | PoisBinNonNor_1.3.3.tar.gz |
12.6 KiB |
1.3.3 |
latest linux/jammy R-4.5 | PoisBinNonNor_1.3.3.tar.gz |
100.2 KiB |
1.3.3 |
latest linux/noble R-4.5 | PoisBinNonNor_1.3.3.tar.gz |
100.3 KiB |
1.3.3 |
latest source/ R- | PoisBinNonNor_1.3.3.tar.gz |
12.6 KiB |
1.3.3 |
2026-04-26 source/ R- | PoisBinNonNor_1.3.3.tar.gz |
12.6 KiB |
1.3.3 |
2026-04-23 source/ R- | PoisBinNonNor_1.3.3.tar.gz |
12.6 KiB |
1.3.3 |
2026-04-09 windows/windows R-4.5 | PoisBinNonNor_1.3.3.zip |
103.7 KiB |
1.3.3 |
2025-04-20 source/ R- | PoisBinNonNor_1.3.3.tar.gz |
12.6 KiB |