Compute the clusterdepth test correction given a matrix a permuted statistical signals.
compute_clusterdepth(distribution, threshold, alternative = "two.sided")A matrix of permuted statistical signal. The first row indicating the observed statistics.
A scalar that represents the threshold to create the clusters.
A character string indicating the alternative hypothesis. Default is "greater". Choose between "greater", "less" or "two.sided".
Other multcomp:
compute_clusterdepth_head(),
compute_clustermass(),
compute_maxT(),
compute_minP(),
compute_stepdownmaxT(),
compute_tfce(),
compute_troendle()