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. (2021) <doi:10.18637/jss.v100.i08>.
| Version: | 1.1.3 |
| Depends: | coda, rjags |
| Imports: | msm |
| Suggests: | testthat |
| Published: | 2023-11-29 |
| DOI: | 10.32614/CRAN.package.pexm |
| Author: | Vinicius Mayrink |
| 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 |
| Citation: | pexm citation info |
| Materials: | README, NEWS |
| CRAN checks: | pexm results |
| Reference manual: | pexm.html , pexm.pdf |
| Package source: | pexm_1.1.3.tar.gz |
| Windows binaries: | r-devel: pexm_1.1.3.zip, r-release: pexm_1.1.3.zip, r-oldrel: pexm_1.1.3.zip |
| macOS binaries: | r-release (arm64): pexm_1.1.3.tgz, r-oldrel (arm64): pexm_1.1.3.tgz, r-release (x86_64): pexm_1.1.3.tgz, r-oldrel (x86_64): pexm_1.1.3.tgz |
| Old sources: | pexm archive |
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