Package: permutes
Title: Permutation Tests for Time Series Data
Version: 1.0
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.
Depends: R (>= 2.10)
Imports: ggplot2, lmPerm, plyr, viridis
Suggests: doParallel, dplyr, tidyr, knitr, rmarkdown
License: FreeBSD
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
BugReports: https://github.com/cvoeten/permutes/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-07-21 16:12:20 UTC; cesko
Repository: CRAN
Date/Publication: 2019-07-21 17:00:02 UTC
Built: R 3.6.3; ; 2020-08-05 07:36:18 UTC; windows
