grf (1.0.1)

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Generalized Random Forests.

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).

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

License: GPL-3

Uses: DiceKriging, lmtest, Matrix, Rcpp, sandwich, DiagrammeR, testthat
Reverse suggests: StratifiedMedicine, uplifteval

Released 1 day ago.

11 previous versions



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