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: | 3.0.0 |
Imports: | Rcpp (≥ 0.11.0), stats |
LinkingTo: | Rcpp |
Suggests: | testthat |
Published: | 2016-07-19 |
Author: | Avraham Adler [aut, cph, cre] |
Maintainer: | Avraham Adler <Avraham.Adler at gmail.com> |
BugReports: | https://bitbucket.org/aadler/delaporte/issues |
License: | GPL-2 | GPL-3 | LGPL-3 [expanded from: GPL (≥ 2) | LGPL (≥ 3)] |
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_3.0.0.tar.gz |
Windows binaries: | r-devel: Delaporte_3.0.0.zip, r-release: Delaporte_3.0.0.zip, r-oldrel: Delaporte_3.0.0.zip |
OS X Mavericks binaries: | r-release: Delaporte_3.0.0.tgz, r-oldrel: Delaporte_3.0.0.tgz |
Old sources: | Delaporte archive |
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