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gp: Maximum Likelihood Estimation of the Generalized PoissonDistribution

Functions to estimate the parameters of the generalized Poisson distribution with or without covariates using maximum likelihood. The references include Nikoloulopoulos A.K. & Karlis D. (2008). "On modeling count data: a comparison of some well-known discrete distributions". Journal of Statistical Computation and Simulation, 78(3): 437–457, <doi:10.1080/10629360601010760> and Consul P.C. & Famoye F. (1992). "Generalized Poisson regression model". Communications in Statistics - Theory and Methods, 21(1): 89–109, <doi:10.1080/03610929208830766>.

Version:1.1
Depends:R (≥ 4.0)
Imports:Rfast,RNGforGPD, stats
Published:2023-10-23
DOI:10.32614/CRAN.package.gp
Author:Michail Tsagris [aut, cre]
Maintainer:Michail Tsagris <mtsagris at uoc.gr>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
CRAN checks:gp results

Documentation:

Reference manual:gp.html ,gp.pdf

Downloads:

Package source: gp_1.1.tar.gz
Windows binaries: r-devel:gp_1.1.zip, r-release:gp_1.1.zip, r-oldrel:gp_1.1.zip
macOS binaries: r-release (arm64):gp_1.1.tgz, r-oldrel (arm64):gp_1.1.tgz, r-release (x86_64):gp_1.1.tgz, r-oldrel (x86_64):gp_1.1.tgz
Old sources: gp archive

Reverse dependencies:

Reverse imports:MLE,modgo

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=gpto link to this page.


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