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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:06bd550bc4. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 16 2024 |
R-4.5-linux | OK | Dec 16 2024 |
Exports:dgpgp.mlegp.reggp.reg2pgprgp
Dependencies:corpcorlatticeMatrixmvtnormRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastRNGforGPD