diagdavenport/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.

Getting started

Package details

MaintainerDiag Davenport <[email protected]>
LicenseGPL-3
Version1.0
URL http://dx.doi.org/10.1016/j.jmva.2016.04.007
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("diagdavenport/multicmp")
diagdavenport/multicmp documentation built on May 15, 2019, 8:22 a.m.