dte-adj 0.1.4

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

Overview

dte_adj is a Python package for estimating distribution treatment effects. It provides APIs for conducting regression adjustment to estimate precise distribution functions as well as convenient utils. 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