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OPL
View on CRAN: Click
here
Download and install OPL package within the R console
Install from CRAN:
install.packages("OPL")
Install from Github:
library("remotes")
install_github("cran/OPL")
Install by package version:
library("remotes")
install_version("OPL", "1.0.2")
Attach the package and use:
library("OPL")
Maintained by
Federico Brogi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-03
Latest Update: 2025-02-03
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 sumof 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 (201, <doi:10.1080/13504851.2020.1820939>) and the book by Gareth et al (2013, <doi:10.1007/978-1-4614-7138-7>).
How to cite:
Federico Brogi (2025). OPL: Optimal Policy Learning. R package version 1.0.2, https://cran.r-project.org/web/packages/OPL. Accessed 03 May. 2025.
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