dte-adj 0.1.3

This is a Python library for a research paper 'Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction'

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.

Installation

1. Install from PyPI

   pip install dte_adj
   

2. Install from Source

   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.

Development

We welcome contributions to the project! Please review our Contribution Guide for details on how to get started.

License

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

Maintainers

• Tomu Hirata