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 effects begins and ends, and the results can be plotted in various types of heatmap for reporting.

Version: 0.1
Depends: R (≥ 2.10), plyr, lmPerm, ggplot2, viridis
Suggests: doParallel, dplyr, tidyr, knitr
Published: 2018-05-18
Author: Cesko Voeten [aut, cre]
Maintainer: Cesko Voeten <c.c.voeten at>
License: FreeBSD
NeedsCompilation: no
Materials: README
CRAN checks: permutes results


Reference manual: permutes.pdf
Vignettes: Analyzing time series data using the ‘permutes’ package
Package source: permutes_0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: permutes_0.1.tgz, r-oldrel: permutes_0.1.tgz


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