MCMC Convergence Criteria
I am looking for confirmation, or an article I can reference, on some technical details of Bayesian estimation (e.g., t-tests) in JASP:
- What MCMC sampling method does JASP use as default? Is it Gibbs?
- What are the default MCMC settings used (i.e., with regards to number of chains, adaptive phase, iterations, thinning, etc.).
- What is the default convergence criteria? (i.e., how do I know convergence has been achieved)? Is the Gelman-Rubin diagnostic criterion used in some way?
Any help is greatly appreciated! Thank you!