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update setup.py, version, README
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README.md

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[![Active Development](https://img.shields.io/badge/Maintenance%20Level-Actively%20Developed-brightgreen.svg)](https://gist.github.com/cheerfulstoic/d107229326a01ff0f333a1d3476e068d)
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![Python](https://img.shields.io/badge/Python-3.7%2B-blue)
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# permutations-stats
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Python only permutation-based statistical tests, accelerated with numba.
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Python-only permutation-based statistical tests, accelerated with numba.
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## Status
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### Statistical tests
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Brunner Munzel [1], Mann Whitney Wilcoxon [2, 3], Wilcoxon signed rank test [3],
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## Cite
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If you find this software useful for your academic work, please cite ... TBD.
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## Acknowledgements
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We would like to thank Marianne Paesmans, Lieveke Ameye and Luigi Moretti at
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Institut Jules Bordet for their support during the development of this package.
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## References
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> [1] Brunner, E. and Munzel, U. (2000), The Nonparametric Behrens‐Fisher
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> Problem: Asymptotic Theory and a Small‐Sample Approximation. Biom. J., 42:

permutations_stats/__about__.py

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"__author__",
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"__email__",
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"__license__",
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"__copyright__",
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]
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__title__ = "Permutations-stats"
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__version__ = "0.1.6"
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__version__ = "0.2"
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__author__ = "Florian Charlier"
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__email__ = "trevis@cascliniques.be"
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__license__ = "GPL-3.0-only"
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__copyright__ = "2020-2021 Institut Jules Bordet - Université Libre de Bruxelles"

setup.py

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exec(fp.read(), about)
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version = about['__version__']
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with open("README.md", "r") as f:
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long_description = f.read()
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setup(
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name='permutations-stats',
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version=version,
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license='GPL-3.0-only',
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author='Florian Charlier',
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author_email='trevis@cascliniques.be',
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description='Permutation-based statistical tests in Python'
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description='Permutation-based statistical tests in Python',
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long_description=long_description,
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long_description_content_type="text/markdown",
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)

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