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: 2025-02-27 12:47:38 UTC; UTENTE
Repository: CRAN
Date/Publication: 2025-02-27 13:00:06 UTC
Built: R 4.6.0; ; 2026-04-26 20:16:57 UTC; unix
