Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.
https://anaconda.org/r/r-grf/badges/version.svg
https://anaconda.org/r/r-grf/badges/latest_release_date.svg
https://anaconda.org/r/r-grf/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-grf/badges/platforms.svg
https://anaconda.org/r/r-grf/badges/license.svg
https://anaconda.org/r/r-grf/badges/downloads.svg