CRAN/E | runjags

runjags

Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS

Installation

About

User-friendly interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.

Citation runjags citation info
github.com/ku-awdc/runjags
System requirements JAGS >= 4.3.0 (https://mcmc-jags.sourceforge.io/)
Bug report File report

Key Metrics

Version 2.2.2-4
R ≥ 2.14.0
Published 2024-03-10 136 days ago
Needs compilation? yes
License GPL-2
CRAN checks runjags results
Language en-GB

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Maintainer

Maintainer

Matthew Denwood

Authors

Matthew Denwood

aut / cre

Martyn Plummer

cph

(Copyright holder of the code in src/distributions/DPar1.*, configure.ac, R/rjags_functions.R, and original copyright holder of some modified code where indicated)

Material

README
ChangeLog
INSTALL
Reference manual
Package source

In Views

Bayesian

Vignettes

A quick-start guide to running models in JAGS
Using the runjags package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

runjags archive

Depends

R ≥ 2.14.0

Imports

parallel
lattice ≥ 0.20-10
coda ≥ 0.17-1
stats
utils

Suggests

rjags ≥ 4-7
modeest
testthat ≥ 3.0.0
knitr
markdown
spelling

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