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zic

Bayesian Inference for Zero-Inflated Count Models

Installation

About

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.

Key Metrics

Version 0.9.1
R ≥ 3.0.2
Published 2017-08-22 2441 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Markus Jochmann

markus.jochmann@ncl.ac.uk

Authors

Markus Jochmann

Material

Reference manual
Package source

In Views

Bayesian

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

zic archive

Depends

R ≥ 3.0.2

Imports

Rcpp ≥ 0.11.0
coda ≥ 0.14-2

LinkingTo

Rcpp
RcppArmadillo

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