Package: gp 1.1

Michail Tsagris

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>.

Authors:Michail Tsagris [aut, cre]

gp_1.1.tar.gz
gp_1.1.tar.gz(r-4.5-noble)gp_1.1.tar.gz(r-4.4-noble)
gp_1.1.tgz(r-4.4-emscripten)gp_1.1.tgz(r-4.3-emscripten)
gp.pdf |gp.html
gp/json (API)

# Install 'gp' in R:
install.packages('gp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.01 score 2 packages 17 scripts 248 downloads 6 exports 11 dependencies

Last updated 1 years agofrom:06bd550bc4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linuxOKDec 16 2024

Exports:dgpgp.mlegp.reggp.reg2pgprgp

Dependencies:corpcorlatticeMatrixmvtnormRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastRNGforGPD