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policytree  

Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees
View on CRAN: Click here


Download and install policytree package within the R console
Install from CRAN:
install.packages("policytree")

Install from Github:
library("remotes")
install_github("cran/policytree")

Install by package version:
library("remotes")
install_version("policytree", "1.2.3")



Attach the package and use:
library("policytree")
Maintained by
Erik Sverdrup
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-16
Latest Update: 2024-06-13
Description:
Learn optimal policies via doubly robust empirical welfare maximization over trees. Given doubly robust reward estimates, this package finds a rule-based treatment prescription policy, where the policy takes the form of a shallow decision tree that is globally (or close to) optimal.
How to cite:
Erik Sverdrup (2020). policytree: Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees. R package version 1.2.3, https://cran.r-project.org/web/packages/policytree. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.9.0 (2020-01-16 12:40), 0.9.1 (2020-03-20 11:30), 0.9.2 (2020-03-21 02:30), 1.0.1 (2020-07-13 08:30), 1.0.2 (2020-09-09 08:10), 1.0.3 (2020-09-13 17:10), 1.0.4 (2021-03-10 11:30), 1.0 (2020-06-22 06:50), 1.1.0 (2021-06-24 08:40), 1.1.1 (2021-07-07 06:30), 1.2.0 (2022-03-18 04:40), 1.2.1 (2022-11-20 05:10), 1.2.2 (2023-06-23 06:10), 1.2.3 (2024-06-14 00:00)
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Complete documentation for policytree
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