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: 6.2.0
Imports: stats
Suggests: testthat
Published: 2018-06-22
Author: Avraham Adler ORCID iD [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

Downloads:

Reference manual: Delaporte.pdf
Package source: Delaporte_6.2.0.tar.gz
Windows binaries: r-devel: Delaporte_6.2.0.zip, r-release: Delaporte_6.2.0.zip, r-oldrel: Delaporte_6.1.0.zip
OS X binaries: r-release: Delaporte_6.1.0.tgz, r-oldrel: Delaporte_6.1.0.tgz
Old sources: Delaporte archive

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