Package: jagsUI 1.6.2

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

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.

Authors:Ken Kellner [cre, aut], Mike Meredith [ctb]

jagsUI_1.6.2.tar.gz
jagsUI_1.6.2.zip(r-4.5)jagsUI_1.6.2.zip(r-4.4)jagsUI_1.6.2.zip(r-4.3)
jagsUI_1.6.2.tgz(r-4.4-any)jagsUI_1.6.2.tgz(r-4.3-any)
jagsUI_1.6.2.tar.gz(r-4.5-noble)jagsUI_1.6.2.tar.gz(r-4.4-noble)
jagsUI_1.6.2.tgz(r-4.4-emscripten)jagsUI_1.6.2.tgz(r-4.3-emscripten)
jagsUI.pdf |jagsUI.html
jagsUI/json (API)
NEWS

# Install 'jagsUI' in R:
install.packages('jagsUI', repos = c('https://kenkellner.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kenkellner/jagsui/issues

Pkgdown site:https://kenkellner.com

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

jagscpp

10.47 score 34 stars 7 packages 1.5k scripts 1.9k downloads 73 mentions 9 exports 3 dependencies

Last updated 12 months agofrom:394464e7ec. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKDec 24 2024
R-4.5-winOKDec 24 2024
R-4.5-linuxOKDec 24 2024
R-4.4-winOKDec 24 2024
R-4.4-macOKDec 24 2024
R-4.3-winOKDec 24 2024
R-4.3-macOKDec 24 2024

Exports:autojagsdensityplotjagsjags.basicjags.ViewjagsUIpp.checktraceplotwhiskerplot

Dependencies:codalatticerjags

Introduction to jagsUI

Rendered fromjagsUI.Rmdusingknitr::knitron Dec 24 2024.

Last update: 2024-01-21
Started: 2024-01-21