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Mean-parametrized Conway-Maxwell Poisson (mpcmp) Regression
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README.md

mpcmp: Mean-parametrized Conway-Maxwell Poisson Regression

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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.

Installation

Stable release on CRAN

The mpcmp package has been on CRAN since March 2019. You can install it from CRAN in the usual way:

install.packages("mpcmp")
library("mpcmp")

Development version on Github

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)

Usage

A reference manual is available at thomas-fung.github.io/mpcmp

Citation

If you use this package to analyse your data, please use the following citation:

  • Fung, T., Alwan, A., Wishart, J. and Huang, A. (2019). mpcmp: Mean-parametrized Conway-Maxwell Poisson Regression. R package version 0.1.3.

From R you can use:

citation("mpcmp")
toBibtex(citation("mpcmp"))
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