zic: 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.

Getting started

Package details

AuthorMarkus Jochmann <[email protected]>
MaintainerMarkus Jochmann <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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zic documentation built on Aug. 22, 2017, 5:06 p.m.