R: Compute doubly robust scores for a multi arm causal forest.

get_scores.multi_arm_causal_forest {grf} | R Documentation

## Compute doubly robust scores for a multi arm causal forest.

### Description

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.

### Usage

    ## S3 method for class 'multi_arm_causal_forest'
    get_scores(forest, subset = NULL, ...)

### Arguments

`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.
`...` | Additional arguments (currently ignored).

### Value

An array of scores for each contrast and outcome.

[Package grf version 2.0.1 Index]