average_late

See the function `average_treatment_effect`

A pluggable package for forest-based statistical estimation and inference.
GRF currently provides methods for non-parametric least-squares regression,
quantile regression, survival regression and treatment effect estimation (optionally using instrumental
variables), with support for missing values.

Julie Tibshirani

Generalized Random Forests

Susan Athey

Rina Friedberg

Vitor Hadad

David Hirshberg

Luke Miner

Erik Sverdrup

Stefan Wager

Marvin Wright

average_late function

<dl><dt>forest</dt>
<dd>The forest</dd>
<dt>...</dt>
<dd>Additional arguments (currently ignored).</dd></dl>

Arguments

Average LATE (removed) — average_late

<dl>

<dt>forest</dt>
<dd>The forest</dd>


<dt>...</dt>
<dd>Additional arguments (currently ignored).</dd>

</dl>

average_late: Average LATE (removed)

Description

Usage

Value

Arguments