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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.
Getting started
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Package details |
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| Author | Markus Jochmann <markus.jochmann@ncl.ac.uk> |
| Maintainer | Markus Jochmann <markus.jochmann@ncl.ac.uk> |
| License | GPL (>= 2) |
| Version | 0.9.1 |
| Package repository | View on CRAN |
| Installation |
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