grf: Generalized Random Forests (Beta)
Version 0.9.4

A pluggable package for forest-based statistical estimation and inference. GRF currently provides methods for non-parametric least-squares regression, quantile regression, and treatment effect estimation (optionally using instrumental variables). This package is currently in beta, and we expect to make continual improvements to its performance and usability.

Getting started

Package details

AuthorJulie Tibshirani [aut, cre], Susan Athey [aut], Stefan Wager [aut], Marvin Wright [ctb], all contributors to the included version of Eigen [ctb]
Date of publication2017-11-27 08:49:29 UTC
MaintainerJulie Tibshirani <[email protected]>
LicenseGPL-3
Version0.9.4
URL https://github.com/swager/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 Nov. 27, 2017, 9:03 a.m.