CountsEPPM: Mean and Variance Modeling of Count Data (original) (raw)
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 |
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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 |
License: | GPL-2 |
NeedsCompilation: | no |
Citation: | CountsEPPM citation info |
CRAN checks: | CountsEPPM results |
Documentation:
Reference manual: | CountsEPPM.pdf |
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Vignettes: | Mean and Scale-Factor Modeling of Under- and Overdispersed Count Data |
Downloads:
Package source: | CountsEPPM_3.1.tar.gz |
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Windows binaries: | r-devel: CountsEPPM_3.1.zip, r-release: CountsEPPM_3.1.zip, r-oldrel: CountsEPPM_3.1.zip |
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 |
Linking:
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