gp: Maximum Likelihood Estimation of the Generalized Poisson Distribution

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/
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: gp results


Reference manual: gp.pdf


Package source: gp_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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