grf (0.10.2)

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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.

Maintainer: Julie Tibshirani
Author(s): Julie Tibshirani [aut, cre], Susan Athey [aut], Stefan Wager [aut], Rina Friedberg [ctb], Luke Miner [ctb], Marvin Wright [ctb]

License: GPL-3

Uses: DiagrammeR, DiceKriging, lmtest, Matrix, Rcpp, sandwich, testthat

Released 5 months ago.

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