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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "fastpolicytree" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'fastpolicytree: Constructs Policy Trees from Covariate and Reward Data'
version: '1.0'
doi: 10.32614/CRAN.package.fastpolicytree
abstract: 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) <https://doi.org/10.48550/arXiv.2506.15435>.
authors:
- family-names: Cussens
  given-names: James
  email: james.cussens@bristol.ac.uk
  orcid: https://orcid.org/0000-0002-1363-2336
repository: https://jcussens.r-universe.dev
repository-code: https://github.com/jcussens/tailoring
commit: bc44b3398e7a521355f52ce8ed0c94d343a9083a
url: https://github.com/jcussens/tailoring
date-released: '2026-02-02'
contact:
- family-names: Cussens
  given-names: James
  email: james.cussens@bristol.ac.uk
  orcid: https://orcid.org/0000-0002-1363-2336