Package: rjags 4-17

Martyn Plummer

rjags: Bayesian Graphical Models using MCMC

Interface to the JAGS MCMC library.

Authors:Martyn Plummer [aut, cre], Alexey Stukalov [ctb], Matt Denwood [ctb]

rjags_4-17.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rjags/json (API)

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

Bug tracker:https://github.com/jags/rjags/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • LINE - Linear regression example

On CRAN:

Conda:

jagscpp

9.09 score 2 stars 163 packages 5.9k scripts 21k downloads 260 mentions 17 exports 2 dependencies

Last updated from:a639ec52ce (on release-4_patched). Checks:14 OK, 1 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK84
linux-devel-x86_64OK98
source / vignettesOK216
linux-release-arm64OK81
linux-release-x86_64OK88
macos-release-arm64OK114
macos-release-x86_64OK302
macos-oldrel-arm64OK95
macos-oldrel-x86_64OK254
windows-devel-arm64OK208
windows-devel-x86_64OK193
windows-release-arm64OK200
windows-release-x86_64OK89
windows-oldrel-x86_64OK114
wasm-releaseFAIL77

Exports:adaptcoda.samplesdic.samplesdiffdicjags.modeljags.samplesjags.versionlist.factorieslist.moduleslist.samplersload.moduleparallel.seedsread.bugsdataread.dataread.jagsdataset.factoryunload.module

Dependencies:codalattice

Readme and manuals

Help Manual

Help pageTopics
Bayesian graphical models using MCMCrjags-package rjags
Adaptive phase for JAGS modelsadapt
Generate posterior samples in mcmc.list formatcoda.samples
Advanced control over JAGSlist.factories set.factory
Generate penalized deviance samplesdic dic.samples
Differences in penalized deviancediffdic
Create a JAGS model objectjags.model
Dynamically load JAGS moduleslist.modules load.module unload.module
Functions for manipulating jags model objectscoef.jags list.samplers variable.names.jags
Generate posterior samplesjags.samples
JAGS versionJAGS.version jags.version
Linear regression exampleLINE
Objects for representing MCMC outputas.mcmc.list.mcarray mcarray.object print.mcarray summary.mcarray
Get initial values for parallel RNGsparallel.seeds
Read data files for jags modelsread.bugsdata read.jagsdata
Deprecated Functions in the rjags packageread.data rjags-deprecated
Update jags modelsupdate.jags