eegprep.correct_mc

eegprep.correct_mc(EEG, cycles=(3, 0.5), freqrange=(2, 50), timesout=(5, 6, 7, 8, 9, 10, 12, 14, 16, 18, 20, 24, 28, 32, 36, 40))

Estimate an EEGLAB-style multiple-comparison correction count.

EEGLAB fits a Ramberg-Schmeiser distribution to neighboring-bin correlations. EEGPrep uses the same standalone fitted p-value path without depending on the vendored EEGLAB checkout at runtime.

Parameters:

• EEG (dict[str, Any])

• cycles (Any)

• freqrange (Any)

• timesout (Any)

Return type:

tuple[int, ndarray]