permutes (1.0)

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) . 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.

Maintainer: Cesko C. Voeten
Author(s): Cesko C. Voeten [aut, cre]

License: FreeBSD

Uses: ggplot2, lmPerm, plyr, viridis, doParallel, knitr, dplyr, tidyr, rmarkdown

Released 7 months ago.