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