pyhrf.ui.glm_ui module

class pyhrf.ui.glm_ui.GLMAnalyser(contrasts={'dummy_contrast_example': '3*audio-video/3'}, contrast_test_baseline=0.0, hrf_model='Canonical', drift_model='Cosine', hfcut=128.0, residuals_model='spherical', fit_method='ols', outputPrefix='glm_', rescale_results=False, rescale_factor_file=None, fir_delays=[0], output_fit=False)

Bases: pyhrf.ui.analyser_ui.FMRIAnalyser

analyse_roi(fdata)

get_label()

parametersComments = {'fit_method': 'Either "ols" or "kalman"', 'residuals_model': 'Either "spherical" or "ar1". If "ar1" then the kalman fit method is used'}

parametersToShow = []