Generalized Random Forests (Beta)
Description
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.