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: 0.9.1
Depends: R (≥ 3.0.2)
Imports: Rcpp (≥ 0.11.0), coda (≥ 0.14-2)
LinkingTo: Rcpp, RcppArmadillo
Published: 2017-08-22
DOI: 10.32614/CRAN.package.zic
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_0.9.1.tar.gz
Windows binaries: r-devel: zic_0.9.1.zip, r-release: zic_0.9.1.zip, r-oldrel: zic_0.9.1.zip
macOS binaries: r-release (arm64): zic_0.9.1.tgz, r-oldrel (arm64): zic_0.9.1.tgz, r-release (x86_64): zic_0.9.1.tgz, r-oldrel (x86_64): zic_0.9.1.tgz
Old sources: zic archive

Reverse dependencies:

Reverse suggests: mpath


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