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.


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Reference manual

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install.packages("grf")

0.10.2 by Julie Tibshirani, 3 months ago


https://github.com/grf-labs/grf


Report a bug at https://github.com/grf-labs/grf/issues


Browse source code at https://github.com/cran/grf


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


Documentation:   PDF Manual  


Task views: Machine Learning & Statistical Learning


GPL-3 license


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

Suggests testthat

Linking to Rcpp, RcppEigen

System requirements: GNU make


See at CRAN