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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install.packages('grf')
0.9.6
5 days ago
Julie Tibshirani
GPL-3
R (>= 3.3.0)
DiceKriging, Matrix, methods, Rcpp (>= 0.12.15), sandwich (>= 2.4-0)