Functions to compute p-values based on permutation tests. For regression, ANOVA and ANCOVA, omnibus F-tests and marginal unilateral and bilateral t-tests are available. Several methods to handle nuisance variables are implemented. An extension for the comparison of signals issued from experimental conditions (e.g. EEG/ERP signals) is provided. Several corrections for multiple testing are possible, including the cluster-mass statistic and the threshold-free cluster enhancement.
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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