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runjags (version 2.0.2-8)

Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS

Description

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.

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Version

Install

install.packages('runjags')

Monthly Downloads

10,066

Version

2.0.2-8

License

GPL-2

Maintainer

Matthew Denwood

Last Published

September 14th, 2015

Functions in runjags (2.0.2-8)

extract.runjags

Extract peripheral information from runjags objects
combine.mcmc

Combining and dividing runjags and MCMC objects
add.summary

Summary statistics and plot methods for runjags class objects
new_unique

Create a Unique Filename
run.jags

Run or extend a user-specified Bayesian MCMC model in JAGS from within R
template.jags

Generate a generalised linear mixed model (GLMM) specification in JAGS
runjags.printmethods

Print methods for runjags helper classes
ask

Obtain Input from User With Error Handling
load.runjagsmodule

Load the internal JAGS module provided by runjags
findjags

Attempt to Locate a JAGS Install
results.jags

Importing of saved JAGS simulations with partial error recovery
autorun.jags

Run or extend a user-specified Bayesian MCMC model in JAGS with automatically calculated run-length and convergence diagnostics
write.jagsfile

Write a complete JAGS model to a text file
dump.format

Conversion Between a Named List and a Character String in the R Dump Format
runjags

Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
xgrid.run

Remote execution of user-specified R functions on Apple Xgrid distributed computing clusters
xgrid.run.jags

Run a JAGS Model using an Apple Xgrid distributed computing cluster from Within R
runjags.options

Options for the runjags package
timestring

Calculate the Elapsed Time in Sensible Units
runjags-class

The runjags class and available S3 methods
run.jags.study

Drop-k and simulated dataset studies using JAGS
testjags

Analyse the System to Check That JAGS Is Installed
mutate.functions

Mutate functions to be used with runjags summary methods
read.jagsfile

Extract Any Models, Data, Monitored Variables or Initial Values As Character Vectors from a JAGS or WinBUGS Format Textfile