User-friendly interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.
|Author||Matthew Denwood [aut, cre], Martyn Plummer [cph] (Copyright holder of the code in /src/distributions/jags, src/distributions/DPar1.*, configure.ac, and original copyright holder of some modified code where indicated)|
|Date of publication||2016-07-25 20:30:21|
|Maintainer||Matthew Denwood <email@example.com>|
add.summary: Summary statistics and plot methods for runjags class objects
ask: Obtain Input from User With Error Handling
autorun.jags: Run or extend a user-specified Bayesian MCMC model in JAGS...
combine.mcmc: Combining and dividing runjags and MCMC objects
extract.runjags: Extract peripheral information from runjags objects
findjags: Attempt to Locate a JAGS Install
list.dump.format: Conversion Between a Named List and a Character String in the...
load.runjagsmodule: Load the internal JAGS module provided by runjags
mutate.functions: Mutate functions to be used with runjags summary methods
new_unique: Create a Unique Filename
read.jagsfile: Extract Any Models, Data, Monitored Variables or Initial...
results.jags: Importing of saved JAGS simulations with partial error...
runjags: Interface Utilities, Model Templates, Parallel Computing...
run.jags: Run or extend a user-specified Bayesian MCMC model in JAGS...
runjags-class: The runjags class and available S3 methods
runjags.options: Options for the runjags package
runjags.printmethods: Print methods for runjags helper classes
run.jags.study: Drop-k and simulated dataset studies using JAGS
template.jags: Generate a generalised linear mixed model (GLMM)...
testjags: Analyse the System to Check That JAGS Is Installed
timestring: Calculate the Elapsed Time in Sensible Units
write.jagsfile: Write a complete JAGS model to a text file
xgrid.run: Remote execution of user-specified R functions on Apple Xgrid...
xgrid.run.jags: Run a JAGS Model using an Apple Xgrid distributed computing...