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. Mixed-effects models are supported using an implementation of the approach by Lee & Braun (2012) doi:10.1111/j.1541-0420.2011.01675.x.
- Version2.8
- R versionunknown
- LicenseFreeBSD
- Needs compilation?No
- Last release09/28/2023
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Team
Cesko C. Voeten
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- Imports1 package
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