Bayesian graphical models using MCMC

Documentation for package ‘rjags’ version 1.0.3-13

adapt	Adaptive phase for JAGS models
as.mcmc.dic	Generate penalized deviance samples
as.mcmc.list.mcarray	Objects for representing MCMC output
coda.samples	Generate posterior samples in mcmc.list format
coef.jags	Functions for manipulating jags model objects
dic	Generate penalized deviance samples
dic.samples	Generate penalized deviance samples
diffdic	Differences in penalized deviance
jags.model	Create a JAGS model object
jags.module	Dynamically load JAGS modules
jags.samples	Generate posterior samples
list.samplers	Functions for manipulating jags model objects
print.mcarray	Objects for representing MCMC output
read.data	Read data files for jags models
summary.mcarray	Objects for representing MCMC output
update.jags	Update jags models
variable.names.jags	Functions for manipulating jags model objects