Man pages for mcmc-jags/rjags
Bayesian Graphical Models using MCMC
| adapt | Adaptive phase for JAGS models |
| coda.samples | Generate posterior samples in mcmc.list format |
| control | Advanced control over JAGS |
| 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.object | Functions for manipulating jags model objects |
| jags.samples | Generate posterior samples |
| jags.seed | Set initial value for JAGS RNGs |
| line | Linear regression example |
| mcarray.object | Objects for representing MCMC output |
| parallel | Get initial values for parallel RNGs |
| read.jagsdata | Read data files for jags models |
| rjags-deprecated | Deprecated Functions in the rjags package |
| rjags-package | Bayesian graphical models using MCMC |
| update | Update jags models |
