causalis.scenarios.gate¶
Group-level treatment effect estimation utilities for fitted IRM models.
This submodule exposes:
estimate_gate_from_irmfor :math:\theta_g^{\mathrm{GATE}} = \mathbb{E}[Y(1)-Y(0)\mid G=g]estimate_gatet_from_irmfor :math:\theta_g^{\mathrm{GATET}} = \mathbb{E}[Y(1)-Y(0)\mid G=g, D=1]
The first estimand is a subgroup ATE. The second is a subgroup ATT among the
treated inside subgroup :math:g, not a treated-only average of the ordinary
GATE score. Both estimands assume subgroup membership is a pre-treatment
partition.
Submodules¶
Package Contents¶
Functions¶
Data¶
API¶
- causalis.scenarios.gate.__all__¶
[‘estimate_gate_from_irm’, ‘estimate_gatet_from_irm’, ‘gate_plot’, ‘plot_gate_estimate’]
- causalis.scenarios.gate.__getattr__(name: str)¶