policytree: Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees

Multi-action treatment effect estimation and policy learning as in Zhou, Athey and Wager (2018) <arXiv:1810.04778>.

Version: 0.9.2
Depends: R (≥ 3.5.0)
Imports: Rcpp, grf (≥ 1.1.0)
LinkingTo: Rcpp, BH
Suggests: testthat (≥ 2.1.0), DiagrammeR
Published: 2020-03-21
Author: Zhengyuan Zhou [aut], Susan Athey [aut], Stefan Wager [aut], Ayush Kanodia [aut], Erik Sverdrup [cre]
Maintainer: Erik Sverdrup <erikcs at stanford.edu>
License: GPL-3
URL: https://github.com/grf-labs/policytree
NeedsCompilation: yes
Materials: README
CRAN checks: policytree results

Downloads:

Reference manual: policytree.pdf
Package source: policytree_0.9.2.tar.gz
Windows binaries: r-devel: policytree_0.9.2.zip, r-devel-gcc8: policytree_0.9.2.zip, r-release: policytree_0.9.2.zip, r-oldrel: policytree_0.9.2.zip
OS X binaries: r-release: policytree_0.9.2.tgz, r-oldrel: policytree_0.9.2.tgz
Old sources: policytree archive

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