OPL {OPL} | R Documentation |
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.
[Package OPL version 1.0.2 Index]