leaf_stats.default

forest

The samples to include in the calculations.

samples

Additional arguments (currently ignored).

A default leaf_stats for forests classes without a leaf_stats method
that always returns NULL.

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.default function

A default leaf_stats for forests classes without a leaf_stats method
that always returns NULL. — leaf_stats.default

A default leaf_stats for forests classes without a leaf_stats method
that always returns NULL.

leaf_stats.default: A default leaf_stats for forests classes without a leaf_stats method that always returns NULL.

Description

Usage

Arguments