ashiklom/runjags: Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
Version 2.0.3-2

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.

Getting started

Package details

AuthorMatthew 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)
MaintainerMatthew Denwood <[email protected]>
LicenseGPL-2
Version2.0.3-2
URL http://runjags.sourceforge.net
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ashiklom/runjags")
ashiklom/runjags documentation built on May 11, 2017, 2:16 a.m.