Python package for multivariate hypothesis testing
hyppo
[all-contrib]: https://img.shields.io/badge/all_contributors-36-orange.svg?style=flat 'All Contributors'hyppo (HYPothesis Testing in PythOn, pronounced "Hippo") is an open-source software package for multivariate hypothesis testing. We decided to develop hyppo for the following reasons:
- With the increase in the amount of data in many fields, hypothesis testing for high-dimensional and nonlinear data is important.
- Libraries in R exist, but their interfaces are inconsistent, and most are not available in Python.
Website: https://hyppo.neurodata.io/
Installation
Dependencies
hyppo requires the following:
- python (>= 3.8)
- numba (>= 0.46)
- numpy (>= 1.17)
- scipy (>= 1.4.0)
- scikit-learn (>= 0.22)
- joblib (>= 0.17.0)
- statsmodels (>= 0.14.4)
- patsy (>= 0.5.1)
- future (>=1.0.0)
User installation
The easiest way to install hyppo is using pip.
pip install hyppo
To upgrade to a newer release, use the --upgrade flag.
pip install --upgrade hyppo
The documentation includes more detailed installation instructions. hyppo is free software; you can redistribute it and/or modify it under the terms of the license.
Release Notes
See the release notes for a history of notable changes to hyppo.
Development
We welcome new contributors of all experience levels. The hyppo community's goals are to be helpful, welcoming, and effective. The contributor guide has detailed information about contributing code, documentation, and tests.
- Official source code: https://github.com/neurodata/hyppo/tree/main/hyppo
- Download releases: https://pypi.org/project/hyppo/
- Issue tracker: https://github.com/neurodata/hyppo/issues
Contributors
Thanks goes to these wonderful people:
Made with contrib.rocks.
Project History
hyppo is a rebranding of mgcpy, which was founded in November 2018. mgcpy was designed and written by @tpsatish95, @sampan501, @junhaobearxiong, @sundaysundya, @ananyas713, and @ronakdm. hyppo was designed and written by @sampan501 and first released in February 2020.