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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.
ATE
ATE(FLAME_object)
object returned by applying the FLAME algorithm (FLAME_bit, FLAME_PostgreSQL, or FLAME_SQLite)
FLAME_bit
FLAME_PostgreSQL
FLAME_SQLite
average treatment effect (ATE) of the matched subsamples
# NOT RUN { data(toy_data) result <- FLAME::FLAME_bit(data = toy_data, holdout = toy_data) FLAME::ATE(result) # }
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