scanometrics

• scanometrics package
  • Subpackages
    • scanometrics.GUI package
      • Subpackages
      • Submodules
      • scanometrics.GUI.MainWindow module
      • scanometrics.GUI.styles module
    • scanometrics.processing package
      • Submodules
      • scanometrics.processing.dldirect module
      • scanometrics.processing.freesurfer module
      • scanometrics.processing.fsl module
      • scanometrics.processing.pipeline_template module
      • scanometrics.processing.quantifyBrainStructures module
    • scanometrics.scripts package
      • Submodules
      • scanometrics.scripts.scanometrics module
      • scanometrics.scripts.scanometrics_gui module
    • scanometrics.utils package
      • Submodules
      • scanometrics.utils.bids_util module
      • scanometrics.utils.dicom2bids module
      • scanometrics.utils.io module
      • scanometrics.utils.logging module
      • scanometrics.utils.misc module
      • scanometrics.utils.stats module
      • scanometrics.utils.zenodo_api module
  • Submodules
  • scanometrics.core module
    • ScanOMetrics_project
      • ScanOMetrics_project.add_ses_row()
      • ScanOMetrics_project.evaluate_singleSubject_allSes()
      • ScanOMetrics_project.get_subjSesAcq_T1s()
      • ScanOMetrics_project.get_subjSesAcq_array()
      • ScanOMetrics_project.get_subjSesAcq_id()
      • ScanOMetrics_project.get_subjSesAcq_row()
      • ScanOMetrics_project.get_subj_rows()
      • ScanOMetrics_project.load_normative_model()
      • ScanOMetrics_project.load_proc_metrics()
      • ScanOMetrics_project.load_subjects()
      • ScanOMetrics_project.plot_single_metric()
      • ScanOMetrics_project.proc2table()
      • ScanOMetrics_project.run_proc_pipeline()
      • ScanOMetrics_project.save_normative_model()
      • ScanOMetrics_project.set_normative_model()
      • ScanOMetrics_project.set_proc_pipeline()
      • ScanOMetrics_project.test_group_differences()
  • scanometrics.normative_models module
    • Polynomial
      • Polynomial.fit()
      • Polynomial.load_X()
      • Polynomial.load_model_parameters()
      • Polynomial.predict_values()
      • Polynomial.save_X()
      • Polynomial.save_model_parameters()
    • normative_model_template
      • normative_model_template.compute_uncertainty()
      • normative_model_template.flag_outliers()
    • uniform_subsample_scheme()
    • uniform_subsample_scheme_old()