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.

Version: 0.9
Depends: R (≥ 3.0.2)
Imports: Rcpp (≥ 0.11.0), coda (≥ 0.14-2)
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-09-04
Author: Markus Jochmann
Maintainer: Markus Jochmann <markus.jochmann at ncl.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Bayesian
CRAN checks: zic results


Reference manual: zic.pdf
Package source: zic_0.9.tar.gz
Windows binaries: r-devel: zic_0.9.zip, r-release: zic_0.9.zip, r-oldrel: zic_0.9.zip
OS X Snow Leopard binaries: r-release: zic_0.9.tgz, r-oldrel: zic_0.8.1.tgz
OS X Mavericks binaries: r-release: zic_0.9.tgz
Old sources: zic archive

Reverse dependencies:

Reverse suggests: mpath