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.tgz(r-4.6-x86_64)pexm_1.1.3.tgz(r-4.6-arm64)pexm_1.1.3.tgz(r-4.5-x86_64)pexm_1.1.3.tgz(r-4.5-arm64)
pexm_1.1.3.tar.gz(r-4.7-arm64)pexm_1.1.3.tar.gz(r-4.7-x86_64)pexm_1.1.3.tar.gz(r-4.6-arm64)pexm_1.1.3.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
pexm/json (API)
NEWS

# Install 'pexm' in R:

install.packages('pexm', repos = c('https://vdinizm.r-universe.dev', 'https://cloud.r-project.org'))

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

Uses libs:

jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
c++– GNU Standard C++ Library v3

On CRAN:

jags cpp

3.30 score 4 stars 1 scripts 188 downloads 1 exports 19 dependencies

Last updated from:978a57ff99. Checks:8 NOTE, 1 OK, 4 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	145
linux-devel-x86_64	NOTE	154
source / vignettes	OK	174
linux-release-arm64	NOTE	156
linux-release-x86_64	NOTE	146
macos-release-arm64	NOTE	213
macos-release-x86_64	NOTE	402
macos-oldrel-arm64	NOTE	177
macos-oldrel-x86_64	NOTE	294
windows-devel	FAIL	96
windows-release	FAIL	69
windows-oldrel	FAIL	68
wasm-release	FAIL	107