BaseExperiment.effect_summary#

abstractmethod BaseExperiment.effect_summary(*, group='posterior')[source]#

Generate a decision-ready summary of causal effects.

Parameters:

group (Literal['prior', 'posterior']) – "prior" resolves the prior bundle (after sample_prior_predictive()) with prior-appropriate prose; "posterior" (default) requires fit(). Concrete experiments declare additional keyword-only parameters that their own effect-summary implementation supports.

Returns:

Object with .table (DataFrame) and .text (str) attributes.

Return type:

EffectSummary