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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 "OPL" in publications use:'
type: software
license: GPL-3.0-only
title: 'OPL: Optimal Policy Learning'
version: 1.0.2
doi: 10.32614/CRAN.package.OPL
abstract: Provides functions for optimal policy learning in socioeconomic applications
  helping users to learn the most effective policies based on data in order to maximize
  empirical welfare. Specifically, 'OPL' allows to find "treatment assignment rules"
  that maximize the overall welfare, defined as the sum of the policy effects estimated
  over all the policy beneficiaries. Documentation about 'OPL' is provided by several
  international articles via Athey et al (2021, <https://doi.org/10.3982/ECTA15732>),
  Kitagawa et al (2018, <https://doi.org/10.3982/ECTA13288>), Cerulli (2022, <https://doi.org/10.1080/13504851.2022.2032577>),
  the paper by Cerulli (2021, <https://doi.org/10.1080/13504851.2020.1820939>) and
  the book by Gareth et al (2013, <https://doi.org/10.1007/978-1-4614-7138-7>).
authors:
- family-names: Brogi
  given-names: Federico
  email: federicobrogi@gmail.com
- family-names: Guardabascio
  given-names: Barbara
  email: barbara.guardabascio@unipg.it
- family-names: Cerulli
  given-names: Giovanni
  email: giovanni.cerulli@ircres.cnr.it
repository: https://CRAN.R-project.org/package=OPL
date-released: '2025-02-27'
contact:
- family-names: Brogi
  given-names: Federico
  email: federicobrogi@gmail.com