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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

Documentation:

Reference manual: zic.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=zic to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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