PoisBinOrd
Data Generation with Poisson, Binary and Ordinal Components
Generation of multiple count, binary and ordinal 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, A. and Demirtas, H. (2015) <DOI:10.1080/00949655.2014.953534>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.3 |
rolling linux/jammy R-4.5 | PoisBinOrd_1.4.3.tar.gz |
70.9 KiB |
1.4.3 |
rolling linux/noble R-4.5 | PoisBinOrd_1.4.3.tar.gz |
70.8 KiB |
1.4.3 |
rolling source/ R- | PoisBinOrd_1.4.3.tar.gz |
9.9 KiB |
1.4.3 |
latest linux/jammy R-4.5 | PoisBinOrd_1.4.3.tar.gz |
70.9 KiB |
1.4.3 |
latest linux/noble R-4.5 | PoisBinOrd_1.4.3.tar.gz |
70.8 KiB |
1.4.3 |
latest source/ R- | PoisBinOrd_1.4.3.tar.gz |
9.9 KiB |
1.4.3 |
2026-04-26 source/ R- | PoisBinOrd_1.4.3.tar.gz |
9.9 KiB |
1.4.3 |
2026-04-23 source/ R- | PoisBinOrd_1.4.3.tar.gz |
9.9 KiB |
1.4.3 |
2026-04-09 windows/windows R-4.5 | PoisBinOrd_1.4.3.zip |
73.8 KiB |
1.4.3 |
2025-04-20 source/ R- | PoisBinOrd_1.4.3.tar.gz |
9.9 KiB |