OPL: OPL: Optimal Policy Learning Package

In OPL: Optimal Policy Learning

OPL: Optimal Policy Learning Package

Description

The OPL package provides tools for estimating and optimizing policy assignment rules based on machine learning and econometric techniques.

Main functions

• make_cate(): Computes conditional average treatment effects.

• opl_tb(): Optimal policy learning for threshold-based policies.

• opl_lc(): Optimal policy learning for linear combination policies.

• opl_dt(): Optimal policy learning for decision tree-based policies.

Installation

To install the package from CRAN, use: install.packages("OPL")

Acknowledgments

The development of this software was supported by FOSSR (Fostering Open Science in Social Science Research), a project funded by the European Union - NextGenerationEU under the NPRR Grant agreement n. MURIR0000008.

OPL documentation built on April 4, 2025, 3:09 a.m.