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
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.pdf

Downloads:

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

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