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: |
0.4.12 |
| Depends: |
R (≥ 2.14.0), stats, utils |
| Published: |
2012-01-13 |
| Author: |
Washington Junger and Antonio Ponce de
Leon |
| Maintainer: |
Washington Junger <wjunger at ims.uerj.br> |
| License: |
GPL (≥ 2) |
| CRAN checks: |
pgam results |
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