Learn R Programming

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

rjags (version 4-6)

Bayesian Graphical Models using MCMC

Description

Interface to the JAGS MCMC library.

Copy Link

Version

Install

install.packages('rjags')

Monthly Downloads

29,733

Version

4-6

License

GPL (== 2)

Maintainer

Martyn Plummer

Last Published

February 19th, 2016

Functions in rjags (4-6)

rjags-deprecated

Deprecated Functions in the rjags package
parallel

Get initial values for parallel RNGs
jags.model

Create a JAGS model object
diffdic

Differences in penalized deviance
read.jagsdata

Read data files for jags models
line

Linear regression example
adapt

Adaptive phase for JAGS models
mcarray.object

Objects for representing MCMC output
rjags-package

Bayesian graphical models using MCMC
control

Advanced control over JAGS
dic.samples

Generate penalized deviance samples
coda.samples

Generate posterior samples in mcmc.list format
jags.object

Functions for manipulating jags model objects
update

Update jags models
jags.module

Dynamically load JAGS modules
jags.samples

Generate posterior samples