ARIpermEEG: ARI Permutation-based for EEG data

In angeella/ARIeeg: ARI applied on EEG data

ARI Permutation-based for EEG data

Description

Performs ARI using permutation local test for EEG data

Usage

ARIpermEEG(data, alpha, family, delta, alternative, timeS, dist, formula, variable, B, effect, model, ...)

Arguments

data	data, default is NULL. You need to insert data or model
alpha	alpha level
family	which family for the confidence envelope? simes, finner, beta or higher.criticism. default is simes
delta	do you want to consider at least delta size set?
alternative	alternative hypothesis
timeS	time signal to select, default NULL, i.e. no selection
dist	an double defining the maximal distance for adjacency of two channels
formula	formula object defining the design of the model.
variable	variables to use in the right part of the formula
B	number of permutation, default 5000
eff	effect of interest where apply ARI
permuco4brain	model, default is NULL

Value

Returns a data.frame with number of true discoveries for each cluster

Author(s)

Angela Andreella

angeella/ARIeeg documentation built on June 5, 2023, 12:35 a.m.