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 <markus.jochmann@ncl.ac.uk>
MaintainerMarkus Jochmann <markus.jochmann@ncl.ac.uk>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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zic documentation built on May 2, 2019, 11:11 a.m.