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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.
- Version0.9.1
- R version≥ 3.0.2
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/22/2017
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Team
Markus Jochmann
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