grf (1.0.1)

0 users

Generalized Random Forests.

https://github.com/grf-labs/grf
http://cran.r-project.org/web/packages/grf

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

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of grf yet. Want to be the first? Write one now.


Related packages: BayesTree, ElemStatLearn, GAMBoost, ROCR, RXshrink, arules, caret, e1071, earth, effects, elasticnet, gbm, glmpath, grplasso, ipred, kernlab, klaR, lars, lasso2, maptree(20 best matches, based on common tags.)


Search for grf on google, google scholar, r-help, r-devel.

Visit grf on R Graphical Manual.