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>.
| Version: | 2.8 |
| Depends: | R (≥ 2.10) |
| Imports: | plyr, stats, utils |
| Suggests: | buildmer (≥ 2.3),car,doParallel,ggplot2,glmmTMB,knitr,lme4,lmPerm,permuco,rmarkdown,viridis |
| Published: | 2023-09-28 |
| DOI: | 10.32614/CRAN.package.permutes |
| Author: | Cesko C. Voeten [aut, cre] |
| Maintainer: | Cesko C. Voeten <cvoeten at gmail.com> |
| BugReports: | https://gitlab.com/cvoeten/permutes/-/issues |
| License: | FreeBSD |
| NeedsCompilation: | no |
| CRAN checks: | permutes results |
| Reference manual: | permutes.html ,permutes.pdf |
| Vignettes: | Analyzing time series data using 'clusterperm.lmer' (source,R code) Analyzing time series data using 'permu.test' (source,R code) |
| Package source: | permutes_2.8.tar.gz |
| Windows binaries: | r-devel:permutes_2.8.zip, r-release:permutes_2.8.zip, r-oldrel:permutes_2.8.zip |
| macOS binaries: | r-release (arm64):permutes_2.8.tgz, r-oldrel (arm64):permutes_2.8.tgz, r-release (x86_64):permutes_2.8.tgz, r-oldrel (x86_64):permutes_2.8.tgz |
| Old sources: | permutes archive |
Please use the canonical formhttps://CRAN.R-project.org/package=permutesto link to this page.