From personal research to open-source package
This package was built for research purposes. While doing my own research, I often had to develop my own API for causal inference and implement state-of-the-art methods from scratch. I’ve decided to share the resulting codebase as an open-source package in case it can be useful to other researchers and practitioners. The package is organized around one consistent estimator contract that covers binary, categorical, and continuous treatments. More to come soon.
Citation
Please cite this package, if you use it, as:
@software{angelim_skcausal,
author = {Angelim, Felipe},
title = {skcausal: A Python package for causal inference},
url = {https://github.com/felipeangelimvieira/skcausal},
note = {Open-source Python package},
year = {n.d.}
}Contributions are welcome. Please open issues for requesting new features or reporting bugs, and open pull requests for code contributions. For questions about usage, please check the documentation and examples, and feel free to reach out.