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gp (version 1.1)

Maximum Likelihood Estimation of the Generalized Poisson Distribution

Description

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, and Consul P.C. & Famoye F. (1992). "Generalized Poisson regression model". Communications in Statistics - Theory and Methods, 21(1): 89--109, .

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Version

Install

install.packages('gp')

Monthly Downloads

213

Version

1.1

License

GPL (>= 2)

Maintainer

Michail Tsagris

Last Published

October 23rd, 2023

Functions in gp (1.1)

Density computation of the generalized Poisson distribution

Density computation of the generalized Poisson distribution
Cumulative probability mass of the generalized Poisson distribution

Cumulative probability mass of the generalized Poisson distribution
rgp

Random values simulation from the generalized Poisson distribution
gp-package

Maximum Likelihood Estimation of the Generalized Poisson Distribution.
gp.mle

Maximum likelihood estimation of the generalized Poisson distribution
gp.reg

Generalized Poisson regression