Generate a generalised linear mixed model (GLMM) specification in JAGS
Importing of saved JAGS simulations with partial error recovery
Extract Any Models, Data, Monitored Variables or Initial Values As Character Vectors from a JAGS or WinBUGS Format Textfile
Print methods for runjags helper classes
Run or extend a user-specified Bayesian MCMC model in JAGS from within R
Drop-k and simulated dataset studies using JAGS
Options for the runjags package
Create a Hui-Walter model based on paired test data for an arbitrary number of tests and populations
runjags: Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
The runjags class and available S3 methods
Write a complete JAGS model to a text file
Analyse the System to Check That JAGS Is Installed
Calculate the Elapsed Time in Sensible Units
Obtain Input from User With Error Handling
Run or extend a user-specified Bayesian MCMC model in JAGS with automatically calculated run-length and convergence diagnostics
Combining and dividing runjags and MCMC objects
Extract peripheral information from runjags objects
Load the internal JAGS module provided by runjags
Mutate functions to be used with runjags summary methods
Conversion Between a Named List and a Character String in the R Dump Format
Create a Unique Filename
Attempt to Locate a JAGS Install
Summary statistics and plot methods for runjags class objects