jagsUI: A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses
Version 1.4.4

A set of wrappers around 'rjags' functions to run Bayesian analyses in 'JAGS' (specifically, via 'libjags'). A single function call can control adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in sequence or in parallel. Posterior distributions are automatically summarized (with the ability to exclude some monitored nodes if desired) and functions are available to generate figures based on the posteriors (e.g., predictive check plots, traceplots). Function inputs, argument syntax, and output format are nearly identical to the 'R2WinBUGS'/'R2OpenBUGS' packages to allow easy switching between MCMC samplers.

Getting started

Package details

AuthorKen Kellner <[email protected]>
Date of publication2016-12-03 09:26:01
MaintainerKen Kellner <[email protected]>
LicenseGPL-2
Version1.4.4
URL https://github.com/kenkellner/jagsUI
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("jagsUI")

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jagsUI documentation built on May 29, 2017, 9:48 a.m.