A collection of functions for estimation, testing and diagnostic checking for the mean-parametrized Conway-Maxwell Poisson (COM-Poisson) regression model of Huang (2017)
The mpcmp
package provides a collection of functions for estimation, testing and diagnostic checking for the mean-parametrized Conway-Maxwell Poisson (COM-Poisson) regression model for under- and over-dispersed count data of Huang (2017).
The mpcmp
currently only supports log-lienar mean models, however work is progressing to incorporate regression being linked to the dispersion parameter and a zero-inflated Conway-Maxwell Poisson model.
You can use the devtools package to install the development version of mpcmp from GitHub:
# install.packages("devtools")devtools::install_github("thomas-fung/mpcmp")library(mpcmp)
A reference manual is available at thomas-fung.github.io/mpcmp
If you use this package to analyse your data, please use the following citation:
From R you can use:
citation("mpcmp")toBibtex(citation("mpcmp"))