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.

AuthorWashington Junger <wjunger@ims.uerj.br> and Antonio Ponce de Leon <ponce@ims.uerj.br>
Date of publication2012-01-13 16:07:51
MaintainerWashington Junger <wjunger@ims.uerj.br>
LicenseGPL (>= 2)
Version0.4.12

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