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 ims.uerj.br>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	pgam results

Documentation:

Reference manual:

pgam.pdf

Downloads:

Package source:	pgam_0.4.15.tar.gz
Windows binaries:	r-devel: pgam_0.4.15.zip, r-release: pgam_0.4.15.zip, r-oldrel: pgam_0.4.15.zip
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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