Package: zic
Version: 0.9.1
Date: 2017-08-22
Title: Bayesian Inference for Zero-Inflated Count Models
Author: Markus Jochmann <markus.jochmann@ncl.ac.uk>
Maintainer: Markus Jochmann <markus.jochmann@ncl.ac.uk>
Description: 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.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.11.0), coda (>= 0.14-2)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2017-08-22 12:01:28 UTC; markus
Repository: CRAN
Date/Publication: 2017-08-22 12:26:54 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 23:12:55 UTC; unix
Archs: zic.so.dSYM
