zic: Bayesian Inference for Zero-Inflated Count Models
This package provides MCMC algorithms for the analysis of zero-inflated count models. The case of stochastic search variable selection (SSVS) is also considered.
All MCMC samplers are coded in C++ for improved efficiency. A data set considering the demand for health care is also provided.
| Version: |
0.6.2 |
| Published: |
2011-12-21 |
| Author: |
Markus Jochmann |
| Maintainer: |
Markus Jochmann <markus.jochmann at ncl.ac.uk> |
| License: |
GPL (≥ 2) |
| In views: |
Bayesian |
| CRAN checks: |
zic results |
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