pywhy-stats

Pywhy-stats serves as Python library for implementations of various statistical methods, such as (un)conditional independence tests, which can be utilized in tasks like causal discovery.

We encourage you to use the package for your causal inference research and also build on top with relevant Pull Requests.

See our examples for walk-throughs of how to use the package, or

Please refer to our User Guide for details on all the tools that we provide. You can also find an exhaustive list of the public API in the API. You can also look at our numerous examples that illustrate the use of pywhy-stats in many different contexts.

Contents

Getting started:

• Installation
  • Installing with pip, or poetry
  • Installing from source
• Reference API
  • Independence Testing
• Simple Examples
  • Examples
• User Guide
  • 1. Independence
  • 2. Conditional Distribution 2-Sample Testing
  • 3. References
• Release History
  • Version 0.1
  • Version 0.2

Team

pywhy-stats is developed and maintained by pywhy. To learn more about who specifically contributed to this codebase, see our contributors page.

Indices and tables

• Index

• Module Index