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COMPoissonReg (version 0.8.1)

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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Version

Install

install.packages('COMPoissonReg')

Monthly Downloads

679

Version

0.8.1

License

GPL-2 | GPL-3

Issues

2

Pull Requests

0

Stars

9

Forks

4

Maintainer

Andrew Raim

Last Published

November 29th, 2023

Functions in COMPoissonReg (0.8.1)

equitest

Equidispersion Test
COMPoissonReg-options

Package options
get.offset

Construct values for offsets.
freight

Freight dataset
get.init.zero

Construct initial values for coefficients with zeros.
glm.cmp, CMP support

Supporting Functions for COM-Poisson Regression
nu

Estimate for dispersion parameter
COMPoissonReg-package

Estimate parameters for COM-Poisson regression
glm.cmp-raw

Raw Interface to COM-Poisson and Zero-Inflated COM-Poisson Regression
glm.cmp, ZICMP support

Supporting Functions for ZICMP Regression
get.control

Construct a control object to pass additional arguments to a number of functions in the package.
get.offset.zero

Construct zero values for offsets.
get.modelmatrix

Construct model matrices and offsets for CMP/ZICMP regression
glm.cmp

COM-Poisson and Zero-Inflated COM-Poisson Regression
get.fixed

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

Leverage
get.init

Construct initial values for coefficients.
sdev

Standard deviation
parametric.bootstrap

Parametric Bootstrap
couple

Couple dataset
ZICMP Distribution

ZICMP Distribution
CMP Distribution

COM-Poisson Distribution
ZIP Distribution

COM-Poisson Distribution