jags ☆
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Description:
Just Another Gibbs Sampler for Bayesian MCMC simulation
Type: Formula  |  Tracked Since: Dec 28, 2025
Links: Homepage  |  formulae.brew.sh
Category: Other
Tags: bayesian statistics mcmc simulation scientific-computing
Install: brew install jags
About:
JAGS (Just Another Gibbs Sampler) is a program for Bayesian statistical inference using Markov Chain Monte Carlo (MCMC). It provides a cross-platform engine for analyzing complex hierarchical models and generating posterior distributions. Its primary value is offering a flexible, scriptable environment for statisticians and researchers to perform rigorous Bayesian analysis.
Key Features:
  • Supports Gibbs sampling and Metropolis-Hastings algorithms
  • Uses a dialect of the S language for model specification
  • Extensible via user-defined distributions and functions
  • Cross-platform support for Linux, macOS, and Windows
Use Cases:
  • Bayesian hierarchical modeling in scientific research
  • Statistical analysis of complex, multi-parameter systems
  • Generating posterior samples for predictive inference
Alternatives:
  • Stan – Stan uses Hamiltonian Monte Carlo (HMC) and often offers faster convergence for complex models, but JAGS is simpler to install and integrates directly with R via rjags.
  • WinBUGS/OpenBUGS – JAGS is a modern, open-source, and actively maintained alternative to the legacy BUGS software, offering better stability and platform support.
Version History
Detected Version Rev Change Commit
Sep 14, 2024 9:44am 0 VERSION_BUMP 11be55a3
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