Package: policytree
Title: Policy Learning via Doubly Robust Empirical Welfare Maximization
        over Trees
Version: 0.9.0
Authors@R: c(
    person("Zhengyuan", "Zhou", role = "aut"),
    person("Susan", "Athey", role = "aut"),
    person("Stefan", "Wager", role = "aut"),
    person("Ayush", "Kanodia", role = "aut"),
    person("Erik", "Sverdrup", role = "cre", email = "erikcs@stanford.edu")
    )
Description: Multi-action treatment effect estimation and policy learning
 as in Zhou, Athey and Wager (2018) <arXiv:1810.04778>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0), DiagrammeR
RoxygenNote: 7.0.1
LinkingTo: Rcpp, BH
Imports: Rcpp, grf (>= 1.0.0)
URL: https://github.com/grf-labs/policytree
NeedsCompilation: yes
Packaged: 2020-01-13 17:26:43 UTC; erik
Author: Zhengyuan Zhou [aut],
  Susan Athey [aut],
  Stefan Wager [aut],
  Ayush Kanodia [aut],
  Erik Sverdrup [cre]
Maintainer: Erik Sverdrup <erikcs@stanford.edu>
Repository: CRAN
Date/Publication: 2020-01-16 11:40:02 UTC
