grf: Generalized Random 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.

Getting started

Package details

AuthorJulie Tibshirani [aut, cre], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [ctb], Stefan Wager [aut], Marvin Wright [ctb]
MaintainerJulie Tibshirani <jtibs@cs.stanford.edu>
LicenseGPL-3
Version1.2.0
URL https://github.com/grf-labs/grf
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("grf")

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grf documentation built on July 2, 2020, 3:14 a.m.