CountsEPPM: Mean and Variance Modeling of Count Data

Modeling under- and over-dispersed count data using extended Poisson process models as in the article Faddy and Smith (2011) <doi:10.18637/jss.v069.i06> .

Version: 3.1
Depends: R (≥ 3.5.0)
Imports: Formula, expm, numDeriv, stats, lmtest, grDevices, graphics
Suggests: R.rsp
Published: 2024-01-10
DOI: 10.32614/CRAN.package.CountsEPPM
Author: David M Smith, Malcolm J Faddy
Maintainer: David M. Smith <dmccsmith at>
License: GPL-2
NeedsCompilation: no
Citation: CountsEPPM citation info
CRAN checks: CountsEPPM results


Reference manual: CountsEPPM.pdf
Vignettes: Mean and Scale-Factor Modeling of Under- and Overdispersed Count Data


Package source: CountsEPPM_3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CountsEPPM_3.1.tgz, r-oldrel (arm64): CountsEPPM_3.1.tgz, r-release (x86_64): CountsEPPM_3.1.tgz, r-oldrel (x86_64): CountsEPPM_3.1.tgz
Old sources: CountsEPPM archive


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