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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=permutes to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4