Skip to main content

This is a Python library for estimating distributional treatment effects

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dte_adj-0.1.6.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dte_adj-0.1.6-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file dte_adj-0.1.6.tar.gz.

File metadata

  • Download URL: dte_adj-0.1.6.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for dte_adj-0.1.6.tar.gz
Algorithm Hash digest
SHA256 c0ce8aa9afef8260a176a6dddbaa65f7e8c0487548b2f8e141734b07ebcf4b8f
MD5 bea5447e6ab6660f77a8e91f2f41c567
BLAKE2b-256 b14d39d844662c87ab3de1ed3b3ab3332f5cadbb5db040cad19635b145909a5b

See more details on using hashes here.

File details

Details for the file dte_adj-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: dte_adj-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 9.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for dte_adj-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 ca29e44cecabaa80d96936670da674b778f97fa0d28dac5bc1bfd9ab63a7a5d2
MD5 bb0a0a6fa7d3a70b4547daec21f8d14d
BLAKE2b-256 2b4bc8b918af1b661ea919b38b9f4c39cfcb1e6abed386357c849720415ce349

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page