gp-package

Maximum likelihood estimation of the generalized Poisson distribution. Regression modelling is also supported.

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>.

Michail Tsagris

Maximum Likelihood Estimation of the Generalized Poisson
Distribution

gp-package function

Michail Tsagris <a href="/link/mtsagris%40uoc.gr?package=gp&version=1.1" data-mini-rdoc="gp::mtsagris@uoc.gr">mtsagris@uoc.gr</a>.

Author

Maintainers

Maximum Likelihood Estimation of the Generalized Poisson Distribution. — gp-package

Michail Tsagris <a href='mailto:mtsagris@uoc.gr'>mtsagris@uoc.gr</a>.

Package:	gp	Type:
Package	Version:	1.1
Date:	2023-10-23	License:

gp-package: Maximum Likelihood Estimation of the Generalized Poisson Distribution.

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References