multicmp
Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwell-Poisson (COM-Poisson) distribution for flexible modeling of multivariate count data, especially in the presence of data dispersion. Currently the package only supports bivariate data, via the bivariate COM-Poisson distribution described in Sellers et al. (2016) <doi:10.1016/j.jmva.2016.04.007>. Future development will extend the package to higher-dimensional data.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | multicmp_1.1.tar.gz |
31.1 KiB |
1.1 |
rolling linux/noble R-4.5 | multicmp_1.1.tar.gz |
31.0 KiB |
1.1 |
rolling source/ R- | multicmp_1.1.tar.gz |
6.4 KiB |
1.1 |
latest linux/jammy R-4.5 | multicmp_1.1.tar.gz |
31.1 KiB |
1.1 |
latest linux/noble R-4.5 | multicmp_1.1.tar.gz |
31.0 KiB |
1.1 |
latest source/ R- | multicmp_1.1.tar.gz |
6.4 KiB |
1.1 |
2026-04-26 source/ R- | multicmp_1.1.tar.gz |
6.4 KiB |
1.1 |
2026-04-23 source/ R- | multicmp_1.1.tar.gz |
6.4 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | multicmp_1.1.zip |
34.6 KiB |
1.1 |
2025-04-20 source/ R- | multicmp_1.1.tar.gz |
6.4 KiB |