{
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        "author": "Stefan Appelhoff",
        "author_email": "stefan.appelhoff@mailbox.org",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: Mathematics"
        ],
        "description": "[![Build Status](https://travis-ci.org/sappelhoff/pyprep.svg?branch=master)](https://travis-ci.org/sappelhoff/pyprep)\n[![codecov](https://codecov.io/gh/sappelhoff/pyprep/branch/master/graph/badge.svg)](https://codecov.io/gh/sappelhoff/pyprep)\n[![Documentation Status](https://readthedocs.org/projects/pyprep/badge/?version=latest)](http://pyprep.readthedocs.io/en/latest/?badge=latest)\n[![PyPI version](https://badge.fury.io/py/pyprep.svg)](https://badge.fury.io/py/pyprep)\n\n\n# pyprep\n\nA python implementation of the Preprocessing Pipeline (PREP) for EEG data,\nworking with [MNE-Python](https://www.martinos.org/mne/stable/index.html) for\nEEG data processing and analysis. Also contains a function to detect outlier\nepochs inspired by the FASTER algorithm.\n\nFor a basic use example, see [the documentation.](http://pyprep.readthedocs.io/en/latest/examples.html)\n\n# Installation\n\n`pip install pyprep`\n\nFor installation of the development version use:\n\n```Text\ngit clone https://github.com/sappelhoff/pyprep\ncd pyprep\npip install -r requirements.txt\npip install -e .\n```\n\n# Contributions\n\nContributions are welcome! You should have read the references below. After\nthat, feel free to submit pull requests. Be sure to always include tests for\nall new code that you introduce (whenever possible).\n\n# Reference\n\n> Bigdely-Shamlo, N., Mullen, T., Kothe, C., Su, K.-M., & Robbins, K. A. (2015).\n  The PREP pipeline: standardized preprocessing for large-scale EEG analysis.\n  Frontiers in Neuroinformatics, 9, 16. doi:\n  [10.3389/fninf.2015.00016](https://doi.org/10.3389/fninf.2015.00016)\n\n> Nolan, H., Whelan, R., & Reilly, R. B. (2010). FASTER: fully automated\n  statistical thresholding for EEG artifact rejection. Journal of neuroscience\n  methods, 192(1), 152-162. doi:\n  [10.1016/j.jneumeth.2010.07.015](https://doi.org/10.1016/j.jneumeth.2010.07.015)\n\n\n",
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