`R/compute_troendle_array.R`

`compute_troendle_array.Rd`

Compute 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()`