The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 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 |
Please use the canonical form https://CRAN.R-project.org/package=CountsEPPM to link to this page.
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.
Health stats visible at Monitor.