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permutes  

Permutation Tests for Time Series Data
View on CRAN: Click here


Download and install permutes package within the R console
Install from CRAN:
install.packages("permutes")

Install from Github:
library("remotes")
install_github("cran/permutes")

Install by package version:
library("remotes")
install_version("permutes", "2.8")



Attach the package and use:
library("permutes")
Maintained by
Cesko C. Voeten
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-18
Latest Update: 2023-09-28
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) . 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) .
How to cite:
Cesko C. Voeten (2018). permutes: Permutation Tests for Time Series Data. R package version 2.8, https://cran.r-project.org/web/packages/permutes. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.1 (2019-05-18 16:00), 0.1 (2018-05-18 14:28), 1.0 (2019-07-21 19:00), 2.0.1 (2021-02-24 16:10), 2.0 (2021-02-22 15:00), 2.1.1 (2021-09-14 19:40), 2.1 (2021-09-02 18:50), 2.2 (2021-10-13 09:50), 2.3.2 (2021-12-16 09:20), 2.4 (2022-05-20 14:00), 2.5 (2022-06-15 10:20), 2.6 (2022-07-13 14:40), 2.7 (2023-09-12 00:40)
Other packages that cited permutes R package
View permutes citation profile
Other R packages that permutes depends, imports, suggests or enhances
Complete documentation for permutes
Functions, R codes and Examples using the permutes R package
Some associated functions: MMN . clusterperm.glm . clusterperm.glmer . clusterperm.glmmTMB . clusterperm.lm . clusterperm.lmer . perm.glm . perm.glmer . perm.glmmTMB . perm.lm . perm.lmer . permu.test . plot.permutes . 
Some associated R codes: buildmer.R . data.R . discoverability.R . lmPerm.R . pkgcheck.R . plot.R .  Full permutes package functions and examples
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