View source: R/compute_clusterdepth_head.R
| compute_clusterdepth_head | R Documentation | 
Compute the cluster-depth test correction (from the head) given a matrix a permuted statistical signals.
compute_clusterdepth_head(distribution, threshold, alternative = "two.sided")
| distribution | A matrix of permuted statistical signal. The first row indicating the observed statistics. | 
| threshold | A scalar that represents the threshold to create the clusters. | 
| alternative | A character string indicating the alternative hypothesis. Default is  | 
Other multcomp: 
compute_clusterdepth(),
compute_clustermass(),
compute_maxT(),
compute_minP(),
compute_stepdownmaxT(),
compute_tfce(),
compute_troendle()
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