Tools to check whether a trained posterior is trustworthy:
Details
sbc()– Simulation-Based Calibration rank statisticsexpected_coverage()– nominal vs. empirical credible-interval coveragec2st()– classifier two-sample test between two sample setsposterior_predictive()– draw data from the fitted posterior
