Package: permutes
Title: Permutation Tests for Time Series Data
Version: 2.0.1
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
Suggests: buildmer (>= 1.7.1), car, doParallel, dplyr, ggplot2, lmPerm,
        lme4, permuco, pbkrtest, tidyr, knitr, rmarkdown, viridis
License: FreeBSD
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
BugReports: https://github.com/cvoeten/permutes/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-02-24 14:36:19 UTC; Cesko
Repository: CRAN
Date/Publication: 2021-02-24 15:10:02 UTC
Built: R 3.6.3; ; 2021-05-12 19:41:23 UTC; windows
