Metadata-Version: 2.1
Name: evaler
Version: 0.0.1
Summary: Evaler.
Home-page: https://github.com/johnsam7/evaler
Maintainer: John GW Samuelsson
Maintainer-email: johnsam@mit.edu
License: MIT License
Download-URL: https://github.com/johnsam7/evaler
Project-URL: Source, https://github.com/johnsam7/evaler/
Project-URL: Tracker, https://github.com/johnsam7/evaler/issues/
Keywords: neuroscience neuroimaging MEG EEG brain
Platform: any
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
Requires-Dist: numpy (>=1.21.2)
Requires-Dist: mne (>=0.23.4)
Requires-Dist: matplotlib (>=3.4.3)
Requires-Dist: plyfile (>=0.7.4)

# Evaler
Python package that relies on MNE-python for quantifying resolution metrics for evaluating spatial fidelity of M/EEG source estimates.

Example code in for_manuscript.py and some subject data in subj_data for regenerating data and the figures in the article 
"Spatial Fidelity of MEG/EEG Source Estimates: A General Evaluation Approach". 

Dependencies: The MNE-python environment and plyfile.

Installation: 
1. Install and activate the MNE-python environment (should work with version 0.18 and newer)
2. pip install plyfile
3. python setup.py install


