Compute doubly robust scores for a causal survival forest.
For details see section 3.2 in the causal survival forest paper.
## S3 method for class 'causal_survival_forest' get_scores(forest, subset = NULL, num.trees.for.weights = 500, ...)
forest: A trained causal survival 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.num.trees.for.weights: Number of trees used to estimate Var[W | X = x]. Note: this argument is only used in the case of a continuous treatment (see get_scores.causal_forest for details)....: Additional arguments (currently ignored).A vector of scores.