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 (aftersample_prior_predictive()) with prior-appropriate prose;"posterior"(default) requiresfit(). 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: