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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 |
| Author: | David M Smith, Malcolm J Faddy |
| Maintainer: | David M. Smith <dmccsmith at verizon.net> |
| 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: 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 |
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