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 | 
Please use the canonical form https://CRAN.R-project.org/package=pexm to link to this page.