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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.html ,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 formhttps://CRAN.R-project.org/package=zicto link to this page.


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