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 multi_arm_causal_forest
get_scores(forest, subset = NULL, ...)A trained multi arm causal forest.
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.
Additional arguments (currently ignored).
An array of scores for each contrast and outcome.