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: 7.0.3
Depends: R (≥ 3.6.0)
Imports: stats
Suggests: testthat, covr
Published: 2020-06-01
Author: Avraham Adler ORCID iD [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler at gmail.com>
BugReports: https://github.com/aadler/Delaporte/issues
License: BSD_2_clause + file LICENSE
URL: https://github.com/aadler/Delaporte
NeedsCompilation: yes
Citation: Delaporte citation info
Materials: README NEWS
In views: Distributions
CRAN checks: Delaporte results

Downloads:

Reference manual: Delaporte.pdf
Package source: Delaporte_7.0.3.tar.gz
Windows binaries: r-devel: Delaporte_7.0.3.zip, r-release: Delaporte_7.0.3.zip, r-oldrel: Delaporte_7.0.3.zip
macOS binaries: r-release: Delaporte_7.0.3.tgz, r-oldrel: Delaporte_7.0.3.tgz
Old sources: Delaporte archive

Reverse dependencies:

Reverse imports: Chicago

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