fitgrid: A Python package for multi-channel event-related time series regression modeling

Submitted 03 April 2021Published 19 July 2021
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Editor: @meg-simula (all papers)
Reviewers: @AJQuinn (all reviews), @sappelhoff (all reviews)

Authors

Thomas P. Urbach (0000-0001-7993-142X), Andrey S. Portnoy (0000-0001-9997-9025)

Citation

Urbach et al., (2021). fitgrid: A Python package for multi-channel event-related time series regression modeling. Journal of Open Source Software, 6(63), 3293, https://doi.org/10.21105/joss.03293

@article{Urbach2021, doi = {10.21105/joss.03293}, url = {https://doi.org/10.21105/joss.03293}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {63}, pages = {3293}, author = {Thomas P. Urbach and Andrey S. Portnoy}, title = {fitgrid: A Python package for multi-channel event-related time series regression modeling}, journal = {Journal of Open Source Software} }
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Python EEG electroencephalography MEG magnetoencephalography ERP rERP linear regression ordinary least squares linear mixed-effects exploratory data analysis EDA

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ISSN 2475-9066