grf: Generalized Random Forests

Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.

Package details

AuthorJulie Tibshirani [aut], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [aut, cre], Stefan Wager [aut], Marvin Wright [ctb]
MaintainerErik Sverdrup <erik.sverdrup@monash.edu>
LicenseGPL-3
Version2.3.2
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 June 24, 2024, 5:20 p.m.