run_pdsearch

pharmpy.tools.run_pdsearch(dataset, treatment_variable, strictness='minimization_successful or (rounding_errors and sigdigs>=0.1)', parameter_uncertainty_method=None, **kwargs)

Build a PD model

Parameters:

• dataset (Union[Path, str]) – A PD dataset

• treatment_variable (str) – Name of the variable representing the treatment, e.g. TRT, DOSE or AUC

• strictness (str) – Strictness criteria

• parameter_uncertainty_method ({‘SANDWICH’, ‘SMAT’, ‘RMAT’, ‘EFIM’} or None) – Parameter uncertainty method. Will be used in ranking models if strictness includes parameter uncertaint

• kwargs – Arguments to pass to tool

Returns:

PDSearchResults – PDSearch tool results object.