compute_tfce: Threshold-Free Cluster-Enhancement correction

In jaromilfrossard/permuco: Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals

Threshold-Free Cluster-Enhancement correction

Description

Compute the TFCE correction given a matrix a permuted statistical signals.

Usage

compute_tfce(distribution, alternative = "greater", E = 0.5, H = 1, ndh)

Arguments

distribution	A matrix of permuted statistical signal. The first row indicating the observed statistics.
alternative	A character string indicating the alternative hypothesis. Default is "greater". Choose between "greater", "less" or "two.sided".
E	A scalar that represent the extend parameter of the TFCE transformation. Default is E = 0.5.
H	A scalar that represent the height parameter of the TFCE transformation. Default is H = 1.
ndh	The number of terms in the approximation of the integral.

See Also

Other multcomp: compute_clusterdepth_head(), compute_clusterdepth(), compute_clustermass(), compute_maxT(), compute_minP(), compute_stepdownmaxT(), compute_troendle()

jaromilfrossard/permuco documentation built on July 2, 2022, 10:34 p.m.