CRAN
grf 0.10.3
Generalized Random Forests (Beta)
Released May 27, 2019 by Julie Tibshirani
This package cannot yet be used with Renjin because there was a problem building the package using Renjin's toolchain. View Build Log
An older version of this package is
more compatible with Renjin.
Dependencies
Matrix 1.2-17 lmtest 0.9-37 DiceKriging 1.5.6 sandwich 2.5-1 RcppEigen 0.3.3.5.0 Rcpp
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.