Compute the Troendle's correction given a matrix a permuted statistics.
compute_troendle(distribution, alternative)
A matrix of permuted statistical signal. The first row indicating the observed statistics.
A character string indicating the alternative hypothesis. Default is "greater"
. Choose between "greater"
, "less"
or "two.sided"
.
Other multcomp:
compute_clusterdepth_head()
,
compute_clusterdepth()
,
compute_clustermass()
,
compute_maxT()
,
compute_minP()
,
compute_stepdownmaxT()
,
compute_tfce()