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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 [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 |
Citation: | pexm citation info |
Materials: | README NEWS |
CRAN checks: | pexm results |
Reference manual: | 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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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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