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COMPoissonReg (version 0.8.2)

Conway-Maxwell Poisson (COM-Poisson) Regression

Description

Fit Conway-Maxwell Poisson (COM-Poisson or CMP) regression models to count data (Sellers & Shmueli, 2010) . The package provides functions for model estimation, dispersion testing, and diagnostics. Zero-inflated CMP regression (Sellers & Raim, 2016) is also supported.

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Install

install.packages('COMPoissonReg')

Monthly Downloads

663

Version

0.8.2

License

GPL-2 | GPL-3

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Maintainer

Andrew Raim

Last Published

July 22nd, 2026

Functions in COMPoissonReg (0.8.2)

nu

Estimate for dispersion parameter
COMPoissonReg-package

Estimate parameters for COM-Poisson regression
couple

Couple dataset
get.control

Construct a control object to pass additional arguments to a number of functions in the package.
ZICMP Distribution

ZICMP Distribution
get.fixed

Construct an object that specifies which indices of coefficients should remain fixed in maximum likelihood computation.
equitest

Equidispersion Test
get.modelmatrix

Construct model matrices and offsets for CMP/ZICMP regression
get.init

Construct initial values for coefficients.
glm.cmp

COM-Poisson and Zero-Inflated COM-Poisson Regression
get.offset.zero

Construct zero values for offsets.
glm.cmp, CMP support

Supporting Functions for COM-Poisson Regression
glm.cmp, ZICMP support

Supporting Functions for ZICMP Regression
glm.cmp-raw

Raw Interface to COM-Poisson and Zero-Inflated COM-Poisson Regression
get.offset

Construct values for offsets.
parametric.bootstrap

Parametric Bootstrap
freight

Freight dataset
CMP Distribution

COM-Poisson Distribution
ZIP Distribution

COM-Poisson Distribution
get.init.zero

Construct initial values for coefficients with zeros.
leverage

Leverage
sdev

Standard deviation