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. Mixed-effects models are supported using an implementation of
the approach by Lee & Braun (2012) <doi:10.1111/j.1541-0420.2011.01675.x>.

Permutation Tests for Time Series Data

package-ubuntu-20.04-r-4.0.5#cran#permutes-2.0.1

<p>EEG data from Jager (in prep.). See the vignettes for details.
</p>

package-ubuntu-20.04-r-4.0.5#cran#permutes-2.0.1#docs#MMN

MMN

Description

Usage

Format

permutes

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