R: Compute doubly robust scores for a causal survival forest.

get_scores.causal_survival_forest {grf}

R Documentation

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.

[Package grf version 2.3.2 Index]