Package: permutes
Title: Permutation Tests for Time Series Data
Version: 2.7
Authors@R: person(c("Cesko", "C."), "Voeten", email = "cvoeten@gmail.com", role = c("aut", "cre"))
Author: Cesko C. Voeten [aut, cre]
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>
Description: 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>.
Depends: R (>= 2.10)
Imports: plyr, stats, utils
Suggests: buildmer (>= 2.3), car, doParallel, ggplot2, glmmTMB, knitr,
        lme4, lmPerm, permuco, rmarkdown, viridis
License: FreeBSD
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
BugReports: https://gitlab.com/cvoeten/permutes/-/issues
VignetteBuilder: knitr
NeedsCompilation: no
Repository: https://cvoeten.r-universe.dev
Date/Publication: 2023-09-11 21:53:15 UTC
RemoteUrl: https://gitlab.com/cvoeten/permutes
RemoteRef: HEAD
RemoteSha: 30ff049a8c507cff6909a3ce33cf1b12c01584df
Packaged: 2026-06-14 10:29:36 UTC; root