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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.
| Version: | 0.9.1 |
| Depends: | R (≥ 3.0.2) |
| Imports: | Rcpp (≥ 0.11.0), coda (≥ 0.14-2) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2017-08-22 |
| Author: | Markus Jochmann |
| Maintainer: | Markus Jochmann <markus.jochmann at ncl.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| In views: | Bayesian |
| CRAN checks: | zic results |
| Reference manual: | zic.pdf |
| Package source: | zic_0.9.1.tar.gz |
| Windows binaries: | r-devel: zic_0.9.1.zip, r-release: zic_0.9.1.zip, r-oldrel: zic_0.9.1.zip |
| macOS binaries: | r-release (arm64): zic_0.9.1.tgz, r-oldrel (arm64): zic_0.9.1.tgz, r-release (x86_64): zic_0.9.1.tgz, r-oldrel (x86_64): zic_0.9.1.tgz |
| Old sources: | zic archive |
| Reverse suggests: | mpath |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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