RegressionDiscontinuity.effect_summary#

RegressionDiscontinuity.effect_summary(*, group='posterior', direction='increase', alpha=0.05, min_effect=None)[source]#

Generate a decision-ready summary of causal effects for Regression Discontinuity.

Parameters:

  • group (Literal['prior', 'posterior']) – Which draw group to summarize. "prior" requires sample_prior_predictive() and produces prior-appropriate prose — under a neutral prior, P(effect > 0) should sit near 0.5, so a tail probability far from 0.5 flags a design-matrix or prior-specification problem rather than a causal finding. "posterior" requires fit().

  • direction (Literal['increase', 'decrease', 'two-sided']) – Direction for tail probability calculation (PyMC only, ignored for OLS).

  • alpha (float) – Significance level for HDI/CI intervals (1-alpha confidence level).

  • min_effect (float | None) – Region of Practical Equivalence (ROPE) threshold (PyMC only, ignored for OLS).

Returns:

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

Return type:

EffectSummary