CRAN/E | R2jags

R2jags

Using R to Run 'JAGS'

Installation

About

Providing wrapper functions to implement Bayesian analysis in JAGS. Some major features include monitoring convergence of a MCMC model using Rubin and Gelman Rhat statistics, automatically running a MCMC model till it converges, and implementing parallel processing of a MCMC model for multiple chains.

System requirements JAGS (http://mcmc-jags.sourceforge.net)
Bug report File report

Key Metrics

Version 0.7-1.1
R ≥ 2.14.0
Published 2024-02-05 73 days ago
Needs compilation? no
License GPL (> 2)
CRAN checks R2jags results

Downloads

Yesterday 270 0%
Last 7 days 1.003 -39%
Last 30 days 5.689 -21%
Last 90 days 22.405 +19%
Last 365 days 71.381 -7%

Maintainer

Maintainer

Yu-Sung Su

suyusung@tsinghua.edu.cn

Authors

Yu-Sung Su
Masanao Yajima

Material

ChangeLog
Reference manual
Package source

In Views

Bayesian
Environmetrics
MixedModels

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

R2jags archive

Depends

R ≥ 2.14.0
rjags ≥ 3-3

Imports

abind
coda ≥ 0.13
graphics
grDevices
methods
R2WinBUGS
parallel
stats
utils

Suggests

testthat ≥ 3.0.0

Reverse Depends

BayesianMediationA
CCTpack
eivtools
hbbr
hdbma
HETOP
miscF
simmr

Reverse Imports

afthd
agRee
baker
bamdit
BayesOrdDesign
BayesPostEst
bhmbasket
boral
BTSPAS
HiLDA
IIVpredictor
isoWater
jagstargets
jarbes
longit
MBNMAdose
MBNMAtime
mcmsupply
midas2
MigConnectivity
missingHE
MixSIAR
popbayes
reslr
rnmamod
SeqFeatR
ssifs

Reverse Suggests

AICcmodavg
bridgesampling
broom.mixed
emdbook
expertsurv
ftsa
gap
LakeMetabolizer
postpack