ATE: Compute Average Treatment Effect

In chiarui424/FLAME: A Fast Large-Scale Almost Matching Exactly Approach to Causal Inference

Description

ATE computes average treatment effect of the matched subsamples by a weighted average of the estimated treatment effects in each matched group. The weight is the number of matched units.

Usage

ATE(FLAME_object)

Arguments

FLAME_object

object returned by applying the FLAME algorithm (FLAME_bit, FLAME_PostgreSQL, or FLAME_SQLite)

Value

average treatment effect (ATE) of the matched subsamples

Examples

data(toy_data)
result <- FLAME::FLAME_bit(data = toy_data, holdout = toy_data)
FLAME::ATE(result)

chiarui424/FLAME documentation built on Sept. 16, 2019, 8:43 a.m.