See also nirs.modules.AR_IRLS
nirs.modules.GLM
This module runs a GLM to do first-level statististical analysis. We recommended to use auto-regressive iteratively reweighted least-squares (AR-IRLS) [default in this toolbox: nirs.modules.AR_IRLS], to control type-I errors in the fNIRS statistical model.
Example Usage:
raw = nirs.testing.simData();
% Basic pipeline
job = nirs.modules.Resample;
job = nirs.modules.OpticalDensity(job);
job = nirs.modules.BeerLambertLaw(job);
hb = job.run(raw);
% First level stats
job = nirs.modules.GLM();
job.type = ‘?’; %To see other option: OLS, NIRS-SPM, etc
job.type = ‘AR-IRLS’;
Stats = job.run(hb);