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pgam

Poisson-Gamma Additive Models

This work is an extension of the state space model for Poisson count data, Poisson-Gamma model, towards a semiparametric specification. Just like the generalized additive models (GAM), cubic splines are used for covariate smoothing. The semiparametric models are fitted by an iterative process that combines maximization of likelihood and backfitting algorithm.

Versions across snapshots

VersionRepositoryFileSize
0.4.17 rolling linux/jammy R-4.5 pgam_0.4.17.tar.gz 195.8 KiB
0.4.17 rolling linux/noble R-4.5 pgam_0.4.17.tar.gz 195.5 KiB
0.4.17 rolling source/ R- pgam_0.4.17.tar.gz 61.2 KiB
0.4.17 latest linux/jammy R-4.5 pgam_0.4.17.tar.gz 195.8 KiB
0.4.17 latest linux/noble R-4.5 pgam_0.4.17.tar.gz 195.5 KiB
0.4.17 latest source/ R- pgam_0.4.17.tar.gz 61.2 KiB
0.4.17 2026-04-26 source/ R- pgam_0.4.17.tar.gz 61.2 KiB
0.4.17 2026-04-23 source/ R- pgam_0.4.17.tar.gz 61.2 KiB
0.4.17 2026-04-09 windows/windows R-4.5 pgam_0.4.17.zip 202.7 KiB
0.4.17 2025-04-20 source/ R- pgam_0.4.17.tar.gz 61.2 KiB

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