R/compute_troendle_array.R
compute_troendle_array.RdCompute the Troendle's multiple comparisons procedure, which corresponds to the step-wise version of the min-P.
compute_troendle_array(distribution, alternative, graph)
| distribution | An 3d array representing the null distribution of multiple signals. The first dimension is the permutations, the second the samples, the third is the channels. |
|---|---|
| alternative | A character string indicating the alternative hypothesis. Either |
| graph | An igraph object representing the adjacency of the channels (used for the output only). |
A list containing an igraph and a data.frame, with the results for each sample and channels.
Troendle, J. F. (1995). A stepwise resampling method of multiple hypothesis testing. Journal of the American Statistical Association, 90(429), 370-378, https://doi.org/10.1080/01621459.1995.10476522.
Other MCP:
compute_clusterdepth_array(),
compute_clustermass_array(),
compute_stepdownmaxT_array(),
compute_tfce_array()