Bayesian Inference for Zero-Inflated Count Models
Description
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.