zic (0.9.1)

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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.

Maintainer: Markus Jochmann
Author(s): Markus Jochmann <markus.jochmann@ncl.ac.uk>

License: GPL (>= 2)

Uses: coda, Rcpp
Reverse suggests: mpath

Released about 2 years ago.

8 previous versions



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