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-4.7-any)gp_1.1.tar.gz(r-4.6-any)
gp_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gp/json (API)

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

On CRAN:

Conda:

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

2.08 score 2 packages 20 scripts 289 downloads 6 exports 10 dependencies

Last updated from:06bd550bc4. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK168
source / vignettesOK160
linux-release-x86_64OK116
wasm-releaseOK108

Exports:dgpgp.mlegp.reggp.reg2pgprgp

Dependencies:corpcorlatticeMatrixmvtnormRcppRcppArmadilloRcppParallelRfastRNGforGPDzigg