Metadata-Version: 2.1
Name: TrER
Version: 0.1.0
Summary: implementation of the Treatment Effect Risk: Bounds and Inference package, based on the replication by Kallus (2024).
Home-page: https://github.com/d2cml-ai/TreatmentEffectRisk
Author: Jhon Flores Rojas
Author-email: fr.jhonk@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# TreatmentEffectRisk

This repository is an implementation of the Treatment Effect Risk: Bounds and Inference package, based on the replication by Kallus (2024).

## References

- Paper: [Treatment Effect Risk: Bounds and Inference](https://arxiv.org/abs/2201.05893)
- Original Repository: [CausalML/TreatmentEffectRisk](https://github.com/CausalML/TreatmentEffectRisk)

## License

This project is licensed under the MIT License - see the LICENSE file for details.

## MAP

![](./original_pkg/functions.png)

## Contact

<!-- For questions or inquiries about the package, please contact [fr.jhonk@gmail.com]. -->
