permutes: Permutation Tests for Time Series Data

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.

Package details

AuthorCesko C. Voeten [aut, cre]
MaintainerCesko C. Voeten <>
Package repositoryView on CRAN
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permutes documentation built on July 21, 2019, 5:04 p.m.