CountsEPPM: Mean and Variance Modeling of Count Data

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

Version: 3.0
Depends: R (≥ 3.5.0)
Imports: Formula, expm, numDeriv, stats, lmtest, grDevices, graphics
Suggests: R.rsp
Published: 2018-10-28
Author: David M Smith, Malcolm J Faddy
Maintainer: David M. Smith <smithdm1 at us.ibm.com>
License: GPL-2
NeedsCompilation: no
Citation: CountsEPPM citation info
CRAN checks: CountsEPPM results

Downloads:

Reference manual: CountsEPPM.pdf
Vignettes: Using CountsEPPM
Package source: CountsEPPM_3.0.tar.gz
Windows binaries: r-devel: CountsEPPM_3.0.zip, r-release: CountsEPPM_3.0.zip, r-oldrel: CountsEPPM_2.1.zip
OS X binaries: r-release: CountsEPPM_3.0.tgz, r-oldrel: CountsEPPM_2.1.tgz
Old sources: CountsEPPM archive

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