leaf_stats.causal_forest

forest

The samples to include in the calculations.

samples

Additional arguments (currently ignored).

Calculate summary stats given a set of samples for causal forests.

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

leaf_stats.causal_forest function

Calculate summary stats given a set of samples for causal forests. — leaf_stats.causal_forest

Calculate summary stats given a set of samples for causal forests.

leaf_stats.causal_forest: Calculate summary stats given a set of samples for causal forests.

Description

Usage

Arguments

Value