JAGS
JAGS (Just Another Gibbs Sampler) is a program for Bayesian statistical analysis using Markov chain Monte Carlo (MCMC) simulation. It provides a modeling language for specifying complex hierarchical models and automatically generates MCMC algorithms to sample from posterior distributions. It is widely used in fields like ecology, epidemiology, and social sciences for probabilistic inference.
Developers should learn JAGS when working on Bayesian data analysis projects that require flexible modeling of complex hierarchical structures, such as in ecological modeling, clinical trials, or machine learning with uncertainty quantification. It is particularly useful when integrating Bayesian methods into R or Python workflows, as it interfaces with languages like R (via rjags) and Python (via PyMC3 or PyJAGS) for seamless statistical computing.