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.


Reference manual

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0.9.1 by Markus Jochmann, 4 years ago

Browse source code at

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