Metadata-Version: 2.1
Name: dte_adj
Version: 0.1.3
Summary: This is a Python library for a research paper 'Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction'
Project-URL: homepage, https://github.com/CyberAgentAILab/python-dte-adjustment
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy~=1.26
Requires-Dist: matplotlib~=3.7
Requires-Dist: scipy~=1.13.1

## Overview

This a Python package for building the regression adjusted distribution function estimator proposed in "Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction". For the details of this package, see [the documentation](https://cyberagentailab.github.io/python-dte-adjustment/).

## Installation

1. **Install from PyPI**
    ```sh
    pip install dte_adj
    ```

2. **Install from Source**

    ```sh
    git clone https://github.com/CyberAgentAILab/python-dte-adjustment
    cd python-dte-adjustment
    pip install -e .
    ```

## Basic Usage
Examples of how to use this package are available in [this Get-started Guide](https://cyberagentailab.github.io/python-dte-adjustment/get_started.html).

## Development
We welcome contributions to the project! Please review our [Contribution Guide](CONTRIBUTING.md) for details on how to get started.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Maintainers
- [Tomu Hirata](https://github.com/TomeHirata)
