Package: OPL
Type: Package
Title: Optimal Policy Learning
Version: 1.0.2
Authors@R: c(person("Federico", "Brogi", email = "federicobrogi@gmail.com", role = c("aut", "cre")), 
	     person("Barbara", "Guardabascio", email = "barbara.guardabascio@unipg.it", role = "aut"), 
	     person("Giovanni", "Cerulli", email = "giovanni.cerulli@ircres.cnr.it", role = "aut"))
Author: Federico Brogi [aut, cre], Barbara Guardabascio [aut], Giovanni
        Cerulli [aut]
Maintainer: Federico Brogi <federicobrogi@gmail.com>
Description: 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,
        <doi:10.3982/ECTA15732>), Kitagawa et al (2018,
        <doi:10.3982/ECTA13288>), Cerulli (2022,
        <doi:10.1080/13504851.2022.2032577>), the paper by Cerulli
        (2021, <doi:10.1080/13504851.2020.1820939>) and the book by
        Gareth et al (2013, <doi:10.1007/978-1-4614-7138-7>).
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.1
Imports: stats, dplyr, ggplot2, pander, randomForest, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-21 10:09:06 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2025-02-27 13:00:06 UTC
RemoteUrl: https://github.com/cran/OPL
RemoteRef: HEAD
RemoteSha: dc89096238536fc5b2941fdcec856117289fe0fe