Compute the Cluster- multiple comparisons procedure.
compute_clusterdepth_array(distribution, threshold, graph, alternative)
| distribution | An 3d array representing the null distribution of multiple signal. The first dimension is the permutations, the second the samples, the third is the channels. |
|---|---|
| threshold | A numeric specifying the height of the threshold to compute the clusters. |
| graph | A igraph object representing the adjacency of the channels (used for the outputs only). |
| alternative | A character string indicating the alternative hypothesis. Either |
A list containing an igraph and a data.frame, with the results for each sample, channel.
Frossard, J., & Renaud, O. (2021). The Cluster Depth Tests: Toward Point-Wise Strong Control of the Family-Wise Error Rate in Massively Univariate Tests with Application to M/EEG. arXiv preprint arXiv:2105.07514.
Other MCP:
compute_clustermass_array(),
compute_stepdownmaxT_array(),
compute_tfce_array(),
compute_troendle_array()