# 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
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Release files for evaler 0.0.2
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Total release size: 75.5 kB
Release files / evaler-0.0.2.tar.gz
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