Bayesian Inference for Zero-Inflated Count Models

Provides MCMC algorithms for the analysis of zero-inflated count models. The case of stochastic search variable selection (SVS) is also considered. All MCMC samplers are coded in C++ for improved efficiency. A data set considering the demand for health care is provided.


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install.packages("zic")

0.9.1 by Markus Jochmann, a year ago


Browse source code at https://github.com/cran/zic


Authors: Markus Jochmann <[email protected]>


Documentation:   PDF Manual  


Task views: Bayesian Inference


GPL (>= 2) license


Imports Rcpp, coda

Linking to Rcpp, RcppArmadillo


Suggested by mpath.


See at CRAN