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OPL  

Optimal Policy Learning
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]
All associated links for this package
First Published: 2025-02-03
Latest Update: 2025-02-27
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 09 Oct. 2026.
Previous versions and publish date:
1.0.0 (2025-02-03 13:00), 1.0.1 (2025-02-17 13:10), (2026-07-09 08:15)
Other packages that cited OPL R package
View OPL citation profile
Other R packages that OPL depends, imports, suggests or enhances
Complete documentation for OPL
Functions, R codes and Examples using the OPL R package
Full OPL package functions and examples
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