InversePropensityWeighting.effect_summary

InversePropensityWeighting.effect_summary(*, window='post', direction='increase', alpha=0.05, cumulative=True, relative=True, min_effect=None, treated_unit=None, period=None, prefix='Post-period', **kwargs)

Generate a decision-ready summary of causal effects.

Note: effect_summary is not yet implemented for InversePropensityWeighting experiments.

Parameters:

• window (Literal['post'] | tuple | slice)

• direction (Literal['increase', 'decrease', 'two-sided'])

• alpha (float)

• cumulative (bool)

• relative (bool)

• min_effect (float | None)

• treated_unit (str | None)

• period (Literal['intervention', 'post', 'comparison'] | None)

• prefix (str)

• kwargs (Any)

Return type:

EffectSummary