cvoeten/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.

Getting started

Package details

AuthorCesko C. Voeten [aut, cre]
MaintainerCesko C. Voeten <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
cvoeten/permutes documentation built on July 22, 2019, 5:22 a.m.