zic: Bayesian Inference for Zero-Inflated Count Models

This package 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.

Version: 0.7.0
Depends: Rcpp (≥ 0.9.10), RcppArmadillo (≥ 0.3.0), coda (≥ 0.14-2)
LinkingTo: Rcpp, RcppArmadillo
Published: 2012-04-20
Author: Markus Jochmann
Maintainer: Markus Jochmann <markus.jochmann at ncl.ac.uk>
License: GPL (≥ 2)
In views: Bayesian
CRAN checks: zic results

Downloads:

Package source: zic_0.7.0.tar.gz
MacOS X binary: zic_0.7.0.tgz
Windows binary: zic_0.7.0.zip
Reference manual: zic.pdf
Old sources: zic archive