Delaporte: Statistical Functions for the Delaporte Distribution

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: 2.2-3
Imports: Rcpp (≥ 0.11.0), stats
LinkingTo: Rcpp
Suggests: testthat
Published: 2015-07-01
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

Downloads:

Reference manual: Delaporte.pdf
Package source: Delaporte_2.2-3.tar.gz
Windows binaries: r-devel: Delaporte_2.2-3.zip, r-release: Delaporte_2.2-3.zip, r-oldrel: Delaporte_2.2-3.zip
OS X Snow Leopard binaries: r-release: Delaporte_2.2-3.tgz, r-oldrel: Delaporte_2.2-2.tgz
OS X Mavericks binaries: r-release: Delaporte_2.2-3.tgz
Old sources: Delaporte archive