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fastpolicytree  

Constructs Policy Trees from Covariate and Reward Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fastpolicytree", "1.0")



Attach the package and use:
library("fastpolicytree")
Maintained by
James Cussens
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-24
Latest Update: 2025-06-24
Description:
Constructs optimal policy trees which provide a rule-based treatment prescription policy. Input is covariate and reward data, where, typically, the rewards will be doubly robust reward estimates. This package aims to construct optimal policy trees more quickly than the existing 'policytree' package and is intended to be used alongside that package. For more details see Cussens, Hatamyar, Shah and Kreif (2025) <doi:10.48550/arXiv.2506.15435>.
How to cite:
James Cussens (2025). fastpolicytree: Constructs Policy Trees from Covariate and Reward Data. R package version 1.0, https://cran.r-project.org/web/packages/fastpolicytree. Accessed 04 Oct. 2026.
Previous versions and publish date:
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Complete documentation for fastpolicytree
Functions, R codes and Examples using the fastpolicytree R package
Full fastpolicytree package functions and examples
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