meridian.analysis.review.results.BayesianPPPCases

Cases for the Bayesian Posterior Predictive P-value Check.

Inherits From: ModelCheckCase, BaseCase

FAIL <BayesianPPPCases.FAIL: (<Status.FAIL: 3>, 'The Bayesian posterior predictive p-value is {bayesian_ppp:.2f}.', "The observed total outcome is an extreme outlier compared to the model's expected total outcomes, which suggests a systematic lack of fit. We recommend reviewing input data quality and re-examining the model specification (e.g., priors, transformations) to resolve this issue.")>
PASS <BayesianPPPCases.PASS: (<Status.PASS: 1>, 'The Bayesian posterior predictive p-value is {bayesian_ppp:.2f}.', "The observed total outcome is consistent with the model's posterior predictive distribution.")>