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COMPoissonReg: Conway-Maxwell Poisson (COM-Poisson) Regression

Fit Conway-Maxwell Poisson (COM-Poisson or CMP) regression models to count data (Sellers & Shmueli, 2010) <doi:10.1214/09-AOAS306>. The package provides functions for model estimation, dispersion testing, and diagnostics. Zero-inflated CMP regression (Sellers & Raim, 2016) <doi:10.1016/j.csda.2016.01.007> is also supported.

Version: 0.8.1
Depends: stats, Rcpp, numDeriv
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, ggplot2
Published: 2023-11-29
DOI: 10.32614/CRAN.package.COMPoissonReg
Author: Kimberly Sellers Thomas Lotze Andrew Raim
Maintainer: Andrew Raim <andrew.raim at gmail.com>
License: GPL-2 | GPL-3
URL: https://github.com/lotze/COMPoissonReg
NeedsCompilation: yes
CRAN checks: COMPoissonReg results

Documentation:

Reference manual: COMPoissonReg.pdf
Vignettes: COMPoissonReg: Usage, the Normalizing Constant, and Other Computational Details

Downloads:

Package source: COMPoissonReg_0.8.1.tar.gz
Windows binaries: r-devel: COMPoissonReg_0.8.1.zip, r-release: COMPoissonReg_0.8.1.zip, r-oldrel: COMPoissonReg_0.8.1.zip
macOS binaries: r-release (arm64): COMPoissonReg_0.8.1.tgz, r-oldrel (arm64): COMPoissonReg_0.8.1.tgz, r-release (x86_64): COMPoissonReg_0.8.1.tgz, r-oldrel (x86_64): COMPoissonReg_0.8.1.tgz
Old sources: COMPoissonReg archive

Reverse dependencies:

Reverse imports: DGLMExtPois, miRecSurv, MLE
Reverse suggests: GENESIS

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.