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).
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1.1.0 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] , Rina Friedberg [ctb] , Vitor Hadad [ctb] , David Hirshberg [ctb] , Luke Miner [ctb] , Erik Sverdrup [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 policytree, postDoubleR.
Suggested by StratifiedMedicine, uplifteval.
See at CRAN