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JAGS analyzes Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS has three aims:
- to have a cross-platform engine for the BUGS language;
- to be extensible, allowing users to write their own functions, distributions and samplers; and
- to be a platform for experimentation with ideas in Bayesian modeling.