Package: grf
Title: Generalized Random Forests
Version: 0.9.0
Authors@R: c(
    person("Julie", "Tibshirani", email = "jtibs@cs.stanford.edu", role = c("aut", "cre")),
    person("Marvin", "Wright", email = "wright@imbs.uni-luebeck.de", role = c("ctb")),
    person("Susan", "Athey", email = "athey@stanford.edu", role = c("aut")),
    person("Stefan", "Wager", email = "swager@stanford.edu", role = c("aut")))
Author: Julie Tibshirani [aut, cre],
    Marvin Wright [ctb],
    Susan Athey [aut],
    Stefan Wager [aut]
Maintainer: Julie Tibshirani <jtibs@cs.stanford.edu>
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).
Depends: R (>= 3.3.1)
License: GPL-3
LinkingTo: Rcpp
Imports: Rcpp (>= 0.12.10)
Suggests: sandwich, testthat
RoxygenNote: 6.0.1
URL: https://github.com/swager/grf
BugReports: https://github.com/swager/grf/issues
NeedsCompilation: yes
Packaged: 2017-06-25 23:19:14 UTC; jtibshirani
