Package: pexm 1.1.3

Vinicius Mayrink

pexm: Loading a JAGS Module for the Piecewise Exponential Distribution

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>.

Authors:Vinicius Mayrink [aut, cre], Joao Duarte [aut], Fabio Demarqui [ctb]

pexm_1.1.3.tar.gz
pexm_1.1.3.tar.gz(r-4.5-noble)pexm_1.1.3.tar.gz(r-4.4-noble)
pexm.pdf |pexm.html✨
pexm/json (API)
NEWS

# Install 'pexm' in R:
install.packages('pexm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/vdinizm/pexm/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

1.70 score 1 scripts 264 downloads 1 exports 20 dependencies

Last updated 11 months agofrom:dfe79facab. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-linux-x86_64OKOct 25 2024

Exports:loadpexm

Dependencies:clicodaexpmfansigenericsgluelatticelifecyclemagrittrMatrixmsmmvtnormpillarpkgconfigrjagsrlangsurvivaltibbleutf8vctrs