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)

Peer review:

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

6 exports 1.00 score 11 dependencies 3 dependents 13 scripts 290 downloads

Last updated 11 months agofrom:06bd550bc4. Checks:OK: 2. Indexed: yes.

Exports:dgpgp.mlegp.reggp.reg2pgprgp

Dependencies:corpcorlatticeMatrixmvtnormRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastRNGforGPD