tune_instrumental_forest

Y.hat

W.hat

Z.hat

<p>Additional arguments (currently ignored).</p>

<p>To tune a instrumental forest, see the function `instrumental_forest`</p>

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

tune_instrumental_forest function

Instrumental forest tuning (removed) — tune_instrumental_forest

Instrumental forest tuning (removed)

tune_instrumental_forest: Instrumental forest tuning (removed)

Description

Usage

Arguments

Value