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This work is an extension of the state space model for Poisson count data, PoissonGamma 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.
Package details 


Author  Washington Junger <[email protected]> and Antonio Ponce de Leon <[email protected]> 
Date of publication  20180124 20:55:01 UTC 
Maintainer  Washington Junger <[email protected]> 
License  GPL (>= 2) 
Version  0.4.15 
Package repository  View on CRAN 
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