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.

Version: 0.4.15
Depends: R (≥ 3.0.0), stats, utils
Published: 2018-01-24
Author: Washington Junger and Antonio Ponce de Leon
Maintainer: Washington Junger <wjunger at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: pgam results


Reference manual: pgam.pdf


Package source: pgam_0.4.15.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pgam_0.4.15.tgz, r-oldrel (arm64): pgam_0.4.15.tgz, r-release (x86_64): pgam_0.4.15.tgz, r-oldrel (x86_64): pgam_0.4.15.tgz
Old sources: pgam archive


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