freely-exchangeble or one of the restricted designs. The
'permute' package is modelled after the permutation schemes of

person(given = "R Core Team", role = "cph"),
person(given = "Douglas M.", family = "Bates", role = "ctb"),
person(given = "Jari", family = "Oksanen", role = "ctb"))
Suggests: vegan (>= 2.0-0), testthat (>= 0.5), parallel
Description: The 'permute' package implements a set of restricted permutation designs for freely exchangeable, line transects (time series), and spatial grid designs plus permutation of blocks (groups of samples). 'permute' also allows split-plot designs, in which the whole-plots or split-plots or both can be freely-exchangeable or one of the restricted designs. The 'permute' package is modelled after the permutation schemes of Canoco 3.1 (and later) by Cajo ter Braak.
Author: Gavin L. Simpson [aut, cph, cre],

Title: Functions for Generating Restricted Permutations of Data
Description: A set of restricted permutation designs for freely exchangeable, line transects (time series), and spatial grid designs plus permutation of blocks (groups of samples) is provided. 'permute' also allows split-plot designs, in which the whole-plots or split-plots or both can be freely-exchangeable or one of the restricted designs. The 'permute' package is modelled after the permutation schemes of 'Canoco 3.1' (and later) by Cajo ter Braak.

Author: Gavin L. Simpson [aut, cph, cre]

Suggests: vegan (>= 2.0-0), testthat (>= 0.5), parallel, knitr,

Title: Permutation Tests for Time Series Data
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
Suggests: doParallel, dplyr, tidyr, knitr

where significance of an effects begins and ends, and the results can be plotted in various
Depends: R (>= 2.10), plyr, lmPerm, ggplot2, viridis