Compute the TFCE correction given a matrix a permuted statistical signals.
compute_tfce(distribution, alternative = "greater", E = 0.5, H = 1, ndh)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".
A scalar that represent the extend parameter of the TFCE transformation. Default is E = 0.5.
A scalar that represent the height parameter of the TFCE transformation. Default is H = 1.
The number of terms in the approximation of the integral.
Other multcomp:
compute_clusterdepth_head(),
compute_clusterdepth(),
compute_clustermass(),
compute_maxT(),
compute_minP(),
compute_stepdownmaxT(),
compute_troendle()