Reference

Main Functions Run the permutation test
aovperm()	P-values based on permutation tests for ANOVA and repeated measures ANOVA designs.
clusterlm()	Cluster-mass test for longitudinal data
lmperm()	Permutation tests for regression parameters
Multiple comparisons procedures Multiple comparisons on permuted distribution
compute_clusterdepth()	Cluster-depth correction
compute_clusterdepth_head()	Cluster-depth correction (from the head only)
compute_clustermass()	Clustermass test correction
compute_maxT()	The max-T correction
compute_minP()	The min-P correction
compute_stepdownmaxT()	Step-down version of the max-T correction
compute_tfce()	Threshold-Free Cluster-Enhancement correction
compute_troendle()	The Troendle's correction
Plot Plot results of tests
plot(<clusterlm>)	Plot cluster or parameters.
plot(<lmperm>)	Plot method for class "lmperm".
Print and summary Display tables of the results of the tests
print(<clusterlm>)	Print clusterlm object.
summary(<clusterlm>)	Summarize of a clusterlm object.
Datasets Data for examples
attentionshifting_design	Datatset of the design for the data attentionshifting_signal
attentionshifting_signal	Dataset containing the event-related potential of the electrod O1 of a control experiment.
emergencycost	Dataset of cost of emergency patients.
jpah2016	Dataset of a control study in psychology.
Permutation Matrices Handle permutation matrices
as.Pmat()	Method to convert into Pmat object.
Pmat()	Create a set of permutations/signflips.
Pmat_product()	Multiplies a vector with a Pmat object