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.

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Description file content

Package
zic
Version
0.9.1
Date
2017-08-22
Title
Bayesian Inference for Zero-Inflated Count Models
Author
Markus Jochmann
Maintainer
Markus Jochmann
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

install.packages('zic')

0.9.1

02 years ago

Markus Jochmann

GPL (>= 2)

Depends on

R (>= 3.0.2)

Imports

Rcpp (>= 0.11.0), coda (>= 0.14-2)

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