Provides probability mass, distribution, quantile, random-variate generation, and method-of-moments parameter-estimation functions for the Delaporte distribution. The Delaporte is a discrete probability distribution which can be considered the convolution of a negative binomial distribution with a Poisson distribution. Alternatively, it can be considered a counting distribution with both Poisson and negative binomial components. It has been studied in actuarial science as a frequency distribution which has more variability than the Poisson, but less than the negative binomial.
| Version: | 6.1.0 |
| Imports: | stats |
| Suggests: | testthat |
| Published: | 2017-08-13 |
| Author: | Avraham Adler [aut, cph, cre] |
| Maintainer: | Avraham Adler <Avraham.Adler at gmail.com> |
| BugReports: | https://bitbucket.org/aadler/delaporte/issues |
| License: | BSD_2_clause + file LICENSE |
| URL: | https://bitbucket.org/aadler/delaporte |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| In views: | Distributions |
| CRAN checks: | Delaporte results |
| Reference manual: | Delaporte.pdf |
| Package source: | Delaporte_6.1.0.tar.gz |
| Windows binaries: | r-devel: Delaporte_6.1.0.zip, r-release: Delaporte_6.1.0.zip, r-oldrel: Delaporte_6.1.0.zip |
| OS X El Capitan binaries: | r-release: Delaporte_6.1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: Delaporte_6.1.0.tgz |
| Old sources: | Delaporte archive |
Please use the canonical form https://CRAN.R-project.org/package=Delaporte to link to this page.