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.
- Version1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release06/29/2018
Team
- Diag Davenport
- Kimberly SellersShow author detailsRolesAuthor
- Narayanaswamy BalakrishnanShow author detailsRolesAuthor
- Darcy Steeg MorrisShow author detailsRolesAuthor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package