[aut, cre],
Joao Duarte [aut],
Fabio Demarqui
[ctb]Load the Just Another Gibbs Sampling (JAGS) module 'pexm'. The module provides the tools to work with the Piecewise Exponential (PE) distribution in a Bayesian model with the corresponding Markov Chain Monte Carlo algorithm (Gibbs Sampling) implemented via JAGS. Details about the module implementation can be found in Mayrink et al. (2020) <arXiv:2004.12359>.
| Version: | 1.0.0 |
| Depends: | coda, rjags |
| Imports: | msm |
| Suggests: | testthat |
| Published: | 2020-07-06 |
| Author: | Vinicius Mayrink
[aut, cre],
Joao Duarte [aut],
Fabio Demarqui
[ctb] |
| Maintainer: | Vinicius Mayrink <vdinizm at gmail.com> |
| BugReports: | https://github.com/vdinizm/pexm/issues |
| License: | GPL-3 |
| URL: | https://github.com/vdinizm/pexm |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | pexm results |
| Reference manual: | pexm.pdf |
| Package source: | pexm_1.0.0.tar.gz |
| Windows binaries: | r-devel: pexm_1.0.0.zip, r-release: pexm_1.0.0.zip, r-oldrel: pexm_1.0.0.zip |
| macOS binaries: | r-release: pexm_1.0.0.tgz, r-oldrel: pexm_1.0.0.tgz |
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