rjags4-16 package

Adaptive phase for JAGS models

Generate posterior samples in mcmc.list format

Advanced control over JAGS

Generate penalized deviance samples

Differences in penalized deviance

Create a JAGS model object

Dynamically load JAGS modules

Functions for manipulating jags model objects

Generate posterior samples

JAGS version

Linear regression example

Objects for representing MCMC output

Get initial values for parallel RNGs

Read data files for jags models

Deprecated Functions in the rjags package

Bayesian graphical models using MCMC

Update jags models