MCMC Diagnostics Purpose Provides MCMC convergence diagnostics and analysis capabilities for validating Bayesian inference results. Capabilities - Rhat (potential scale reduction) computation - Effective sample size (ESS) calculation - Trace plot generation - Autocorrelation analysis - Divergence detection - Energy diagnostic (E-BFMI) Usage Guidelines 1. Convergence Check : Verify Rhat < 1.01 for all parameters 2. Sample Quality : Ensure ESS is sufficient for inference 3. Visual Inspection : Review trace plots for mixing 4. Divergences : Address divergent transitions Tools/Libraries - ArviZ -…