PoisBinOrdNor
Data Generation with Poisson, Binary, Ordinal and Normal Components
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal characteristics and association structure. The details of the method are explained in Demirtas et al. (2012) <DOI:10.1002/sim.5362>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.6.3 |
rolling linux/jammy R-4.5 | PoisBinOrdNor_1.6.3.tar.gz |
64.5 KiB |
1.6.3 |
rolling linux/noble R-4.5 | PoisBinOrdNor_1.6.3.tar.gz |
64.2 KiB |
1.6.3 |
rolling source/ R- | PoisBinOrdNor_1.6.3.tar.gz |
9.4 KiB |
1.6.3 |
latest linux/jammy R-4.5 | PoisBinOrdNor_1.6.3.tar.gz |
64.5 KiB |
1.6.3 |
latest linux/noble R-4.5 | PoisBinOrdNor_1.6.3.tar.gz |
64.2 KiB |
1.6.3 |
latest source/ R- | PoisBinOrdNor_1.6.3.tar.gz |
9.4 KiB |
1.6.3 |
2026-04-26 source/ R- | PoisBinOrdNor_1.6.3.tar.gz |
9.4 KiB |
1.6.3 |
2026-04-23 source/ R- | PoisBinOrdNor_1.6.3.tar.gz |
9.4 KiB |
1.6.3 |
2026-04-09 windows/windows R-4.5 | PoisBinOrdNor_1.6.3.zip |
67.2 KiB |
1.6.3 |
2025-04-20 source/ R- | PoisBinOrdNor_1.6.3.tar.gz |
9.4 KiB |