Package: pgam
Version: 0.4.2
Date: 2005-03-05
Author: Washington Junger <wjunger@ims.uerj.br> and Antonio Ponce de
        Leon <ponce@ims.uerj.br>
Maintainer: Washington Junger <wjunger@ims.uerj.br>
Depends: R (>= 1.9.0)
Title: Poisson-Gamma Additive Models.
Description: 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.
License: GPL version 2 or later
Packaged: Sat Mar 5 23:18:51 2005; wjunger
Built: R 2.0.1; powerpc-apple-darwin6.8; 2005-04-19 08:18:43; unix
