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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | gp_1.1.tar.gz |
32.9 KiB |
1.1 |
rolling linux/noble R-4.5 | gp_1.1.tar.gz |
32.9 KiB |
1.1 |
rolling source/ R- | gp_1.1.tar.gz |
5.3 KiB |
1.1 |
latest linux/jammy R-4.5 | gp_1.1.tar.gz |
32.9 KiB |
1.1 |
latest linux/noble R-4.5 | gp_1.1.tar.gz |
32.9 KiB |
1.1 |
latest source/ R- | gp_1.1.tar.gz |
5.3 KiB |
1.1 |
2026-04-26 source/ R- | gp_1.1.tar.gz |
5.3 KiB |
1.1 |
2026-04-23 source/ R- | gp_1.1.tar.gz |
5.3 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | gp_1.1.zip |
35.4 KiB |
1.1 |
2025-04-20 source/ R- | gp_1.1.tar.gz |
5.3 KiB |