voiage.methods.calibration.sophisticated_calibration_modeler
sophisticated_calibration_modeler
Section titled “sophisticated_calibration_modeler”sophisticated_calibration_modeler([positional or keyword] psa_samples: PSASample = None, [positional or keyword] study_design: dict[str, object] = None, [positional or keyword] process_spec: dict[str, object] = None) -> NetBenefitArrayRun the built-in calibration study modeler.
Parameters
Section titled “Parameters”psa_samples : ParameterSet Prior parameter samples. study_design : dict[str, object] Calibration study design specification. process_spec : dict[str, object] Calibration process specification.
Returns
Section titled “Returns”ValueArray Net-benefit samples for the strategies under the calibrated model.
The built-in modeler is a testing-oriented approximation that simulates the effect of calibration by shrinking uncertainty toward target values.
Parameters:
psa_samplesPSASamplestudy_designdict[str, object]process_specdict[str, object]
Returns: NetBenefitArray