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permutes

Permutation Tests for Time Series Data

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>.

Functions (11)

MMN

EEG data from Jager (in prep.). See the vignettes for details.

clusterperm.glm

Cluster-based permutation tests for time series data, based on generalized linear models or other buildmer models. This is an alias for clusterperm.lm provided for discoverability.

clusterperm.glmer

Cluster-based permutation tests for time series data, based on generalized linear mixed-effects models or other buildmer models. This is an alias for clusterperm.lmer provided for discoverability.

clusterperm.lm

Cluster-based permutation tests for time series data, based on mixed-effects models or other buildmer models. This is an alias for clusterperm.lmer, except that random effects are explicily disallowed.

clusterperm.lmer

Cluster-based permutation tests for time series data, based on mixed-effects models or other buildmer models.

perm.glm

A general permutation test for mixed-effects models or other buildmer models. This is an alias for perm.lm provided for discoverability.

perm.glmer

A general permutation test for mixed-effects models or other buildmer models. This is an alias for perm.lmer provided for discoverability.

perm.lm

A general permutation test for mixed-effects models or other buildmer models. This is an alias for clusterperm.lmer, except that random effects are explicily disallowed.

perm.lmer

A general permutation test for mixed-effects models or other buildmer models.

permu.test

Permutation tests for time series data, based on classic linear regression or ANOVA This is a legacy function that is primarily provided for backward compatibility. You should probably use permutelm or permutelmer instead. permu.test is the only function to support multivariate responses, although multivariate data can trivially be recoded into a univariate model. permu.test does not support random effects or corrected p-values (e.g. the cluster mass test), which are supported by permutelm.

plot.permutes

Create a heatmap of the results of cluster-based permutation testing.

permutes

Permutation Tests for Time Series Data

v2.0.1

FreeBSD

Authors

Cesko C. Voeten [aut, cre]

Initial release

permutes

Functions (11)

permutes

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