Metadata-Version: 2.1
Name: pyprep
Version: 0.1.0
Summary: A Python implementation of the preprocessing pipeline (PREP) for EEG data.
Home-page: http://github.com/sappelhoff/pyprep
Author: Stefan Appelhoff
Author-email: stefan.appelhoff@mailbox.org
License: MIT
Project-URL: Source, https://github.com/sappelhoff/pyprep
Project-URL: Bug Reports, https://github.com/sappelhoff/pyprep/issues
Keywords: EEG artifact preprocessing data
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Requires-Python: >=2.7
Description-Content-Type: text/markdown
Provides-Extra: test
Requires-Dist: numpy (>=1.14.1)
Requires-Dist: scipy (>=1.0.0)
Requires-Dist: statsmodels (>=0.8.0)
Requires-Dist: mne (>=0.15.0)
Requires-Dist: psutil (>=5.4.3)
Provides-Extra: test
Requires-Dist: nose (>=1.3.7); extra == 'test'

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# pyprep

A python implementation of the Preprocessing Pipeline (PREP) for EEG data.

Working with [MNE-Python](https://www.martinos.org/mne/stable/index.html) for EEG data processing and analysis.

For a basic use example, see [the documentation.](http://pyprep.readthedocs.io/en/latest/examples.html)

# Installation

Probably easiest through:

`pip install pyprep`

For development version:


```bash
git clone https://github.com/sappelhoff/pyprep #clone pyprep locally
cd pyprep #go to pyprep directory
pip install -r requirements.txt #install all dependencies
pip install -e . #install pyprep
```
# Reference
Bigdely-Shamlo, N., Mullen, T., Kothe, C., Su, K.-M., & Robbins, K. A. (2015). The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics, 9, 16. doi: [10.3389/fninf.2015.00016](https://doi.org/10.3389/fninf.2015.00016)


