grf: Generalized Random Forests (Beta)

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], Rina Friedberg [ctb], Luke Miner [ctb], Marvin Wright [ctb]
MaintainerJulie Tibshirani <[email protected]>
Package repositoryView on CRAN
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grf documentation built on Nov. 24, 2018, 9:04 a.m.