zic: Bayesian Inference for Zero-Inflated Count Models
Version 0.9

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.

Getting started

Package details

AuthorMarkus Jochmann <markus.jochmann@ncl.ac.uk>
Date of publication2015-09-04 01:07:45
MaintainerMarkus Jochmann <markus.jochmann@ncl.ac.uk>
LicenseGPL (>= 2)
Version0.9
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("zic")

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zic documentation built on May 30, 2017, 12:36 a.m.