get_scores.causal_survival_forest: Compute doubly robust scores for a causal survival forest.

In grf: Generalized Random Forests

Compute doubly robust scores for a causal survival forest.

Description

For details see section 3.2 in the causal survival forest paper.

Usage

## S3 method for class 'causal_survival_forest'
get_scores(forest, subset = NULL, num.trees.for.weights = 500, ...)

Arguments

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).

Value

A vector of scores.

grf documentation built on Oct. 1, 2023, 1:07 a.m.