Metadata-Version: 2.0
Name: PyNonpar
Version: 0.0.1
Summary: Nonparametric Test Statistics
Home-page: https://github.com/happma/PyNonpar
Author: Martin Happ
Author-email: martin.happ@aon.at
License: GPL-3
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pytest
Requires-Dist: scipy
Requires-Dist: pytest-cov
Requires-Dist: codecov

# PyNonpar

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Test statistics based on ranks may lead to paradoxical results. A solution are so-called pseudo-ranks.
This package provides a function to calculate pseudo-ranks which are used in nonparametric statistics for rank tests.

Furthermore, this package provides a function to calculate the Hettmansperger-Norton test using pseudo-ranks.


