Learn R Programming

⚠️There's a newer version (4-17) of this package.Take me there.

rjags (version 4-15)

Bayesian Graphical Models using MCMC

Description

Interface to the JAGS MCMC library.

Copy Link

Version

Install

install.packages('rjags')

Monthly Downloads

63,724

Version

4-15

License

GPL (== 2)

Maintainer

Martyn Plummer

Last Published

November 30th, 2023

Functions in rjags (4-15)

dic.samples

Generate penalized deviance samples
coda.samples

Generate posterior samples in mcmc.list format
jags.object

Functions for manipulating jags model objects
jags.samples

Generate posterior samples
jags.version

JAGS version
line

Linear regression example
rjags-deprecated

Deprecated Functions in the rjags package
rjags-package

Bayesian graphical models using MCMC
read.jagsdata

Read data files for jags models
mcarray.object

Objects for representing MCMC output
control

Advanced control over JAGS
jags.module

Dynamically load JAGS modules
parallel

Get initial values for parallel RNGs
adapt

Adaptive phase for JAGS models
update

Update jags models
diffdic

Differences in penalized deviance
jags.model

Create a JAGS model object