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runjags

An R package implementing interface utilities, model templates, parallel computing methods and additional distributions for MCMC models in JAGS

This package is in the process of being migrated from sourceforge to GitHub, along with a fairly substantial overhaul of the underlying code base. Check back for more updates soon.

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Version

Install

install.packages('runjags')

Monthly Downloads

14,053

Version

2.2.2-1

License

GPL-2

Issues

4

Pull Requests

0

Stars

6

Forks

3

Maintainer

Matthew Denwood

Last Published

July 6th, 2023

Functions in runjags (2.2.2-1)

dump.list.format

Conversion Between a Named List and a Character String in the R Dump Format
run.jags.study

Drop-k and simulated dataset studies using JAGS
results.jags

Importing of saved JAGS simulations with partial error recovery
findjags

Attempt to Locate a JAGS Install
extract.runjags

Extract peripheral information from runjags objects
load.runjagsmodule

Load the internal JAGS module provided by runjags
template_huiwalter

Create a Hui-Walter model based on paired test data for an arbitrary number of tests and populations
autorun.jags

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

The runjags class and available S3 methods
write.jagsfile

Write a complete JAGS model to a text file
mutate.functions

Mutate functions to be used with runjags summary methods
runjags-package

runjags: Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
add.summary

Summary statistics and plot methods for runjags class objects
new_unique

Create a Unique Filename
ask

Obtain Input from User With Error Handling
run.jags

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

Combining and dividing runjags and MCMC objects
read.jagsfile

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

Generate a generalised linear mixed model (GLMM) specification in JAGS
timestring

Calculate the Elapsed Time in Sensible Units
testjags

Analyse the System to Check That JAGS Is Installed
runjags.printmethods

Print methods for runjags helper classes
runjags.options

Options for the runjags package