Helps you determine the analysis window to use when analyzing densely-sampled time-series data, such as EEG data, using permutation testing (Maris & Oostenveld 2007) <doi:10.1016/j.jneumeth.2007.03.024>. These permutation tests can help identify the timepoints where significance of an effect begins and ends, and the results can be plotted in various types of heatmap for reporting.
|Author||Cesko C. Voeten [aut, cre]|
|Maintainer||Cesko C. Voeten <[email protected]>|
|Package repository||View on GitHub|
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