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
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:

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