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gp  

Maximum Likelihood Estimation of the Generalized Poisson Distribution
View on CRAN: Click here


Download and install gp package within the R console
Install from CRAN:
install.packages("gp")

Install from Github:
library("remotes")
install_github("cran/gp")

Install by package version:
library("remotes")
install_version("gp", "1.1")



Attach the package and use:
library("gp")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-12
Latest Update: 2023-10-23
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, .
How to cite:
Michail Tsagris (2023). gp: Maximum Likelihood Estimation of the Generalized Poisson Distribution. R package version 1.1, https://cran.r-project.org/web/packages/gp. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:45), 1.0 (2023-01-12 19:20)
Other packages that cited gp R package
View gp citation profile
Other R packages that gp depends, imports, suggests or enhances
Complete documentation for gp
Functions, R codes and Examples using the gp R package
Some associated functions: dgp . gp-package . gp.mle . gp.reg . pgp . rgp . 
Some associated R codes: dgp.R . gp.mle.R . gp.reg.R . gp.reg2.R . pgp.R . rgp.R .  Full gp package functions and examples
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