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.

Getting started

Package details

AuthorWashington Junger <[email protected]> and Antonio Ponce de Leon <[email protected]>
MaintainerWashington Junger <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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pgam documentation built on May 2, 2019, 10:42 a.m.