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 hum.leidenuniv.nl> |
| BugReports: | https://github.com/cvoeten/permutes/issues |
| 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: permutes_0.1.zip, r-release: permutes_0.1.zip, r-oldrel: permutes_0.1.zip |
| OS X binaries: | r-release: permutes_0.1.tgz, r-oldrel: permutes_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=permutes to link to this page.