get_scores.multi_arm_causal_forest | R Documentation |
Compute doubly robust (AIPW) scores for average treatment effect estimation using a multi arm causal forest. Under regularity conditions, the average of the DR.scores is an efficient estimate of the average treatment effect.
## S3 method for class 'multi_arm_causal_forest'
get_scores(forest, subset = NULL, drop = FALSE, ...)
forest |
A trained multi arm causal forest. |
subset |
Specifies subset of the training examples over which we estimate the ATE. WARNING: For valid statistical performance, the subset should be defined only using features Xi, not using the treatment Wi or the outcome Yi. |
drop |
If TRUE, coerce the result to the lowest possible dimension. Default is FALSE. |
... |
Additional arguments (currently ignored). |
An array of scores for each contrast and outcome.
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