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.


Reference manual

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0.10.3 by Julie Tibshirani, a month ago

Report a bug at

Browse source code at

Authors: Julie Tibshirani [aut, cre] , Susan Athey [aut] , Rina Friedberg [ctb] , Vitor Hadad [ctb] , Luke Miner [ctb] , Stefan Wager [aut] , Marvin Wright [ctb]

Documentation:   PDF Manual  

Task views: Machine Learning & Statistical Learning

GPL-3 license

Imports DiceKriging, lmtest, Matrix, methods, Rcpp, sandwich

Suggests DiagrammeR, testthat

Linking to Rcpp, RcppEigen

System requirements: GNU make

Imported by StratifiedMedicine.

Suggested by uplifteval.

See at CRAN