pharmpy.tools.qa.results module

class pharmpy.tools.qa.results.QAResults(dofv=None, fullblock_parameters=None, boxcox_parameters=None, tdist_parameters=None, add_etas_parameters=None, iov_parameters=None, influential_individuals=None, covariate_effects=None, univariate_sum=None, residual_error=None, structural_bias=None)

Bases: pharmpy.results.Results

pharmpy.tools.qa.results.calc_add_etas(original_model, add_etas_model, etas_added_to)

pharmpy.tools.qa.results.calc_frem_dofv(base_model, fullblock_model, frem_results)

Calculate the dOFV for the frem model

pharmpy.tools.qa.results.calc_fullblock(original_model, fullblock_model)

Retrieve new and old parameters of full block

pharmpy.tools.qa.results.calc_iov(original_model, iov_model)

pharmpy.tools.qa.results.calc_scm_dofv(scm_results)

pharmpy.tools.qa.results.calc_transformed_etas(original_model, new_model, transform_name, parameter_name)

Retrieve new and old parameters of boxcox

pharmpy.tools.qa.results.calculate_results(original_model, base_model, fullblock_model=None, boxcox_model=None, tdist_model=None, add_etas_model=None, iov_model=None, etas_added_to=None, frem_results=None, cdd_results=None, scm_results=None, simeval_results=None, resmod_idv_results=None)

pharmpy.tools.qa.results.influential_individuals(cdd_res)

pharmpy.tools.qa.results.outliers(simeval_res, cdd_res)

pharmpy.tools.qa.results.psn_qa_results(path)

Create qa results from a PsN qa run

Parameters

path – Path to PsN qa run directory

Returns

A QAResults object

pharmpy.tools.qa.results.read_results_summary(path)

pharmpy.tools.qa.results.resmod(res)

Inheritance Diagram

pharmpy.tools.qa package pharmpy.tools.resmod package