run_qa#

pharmpy.tools.run_qa(model=None, results=None, linearize=False, skip=None, **kwargs)#

Run QA tool.

Parameters:

  • model (Model) – Pharmpy model

  • results (ModelfitResults) – Results of model

  • linearize (bool) – Whether or not to use linearization when running the tool

  • skip (list of {‘tdist’, ‘boxcox’, ‘fullblock’}) – A list of sections to ski

  • kwargs – Arguments to pass to tool

Returns:

QAResults – QA tool result object

Examples

>>> from pharmpy.modeling import load_example_model
>>> from pharmpy.tools import run_qa, load_example_modelfit_results
>>> model = load_example_model("pheno")
>>> results = load_example_modelfit_results("pheno")
>>> run_qa(model=model, results=results, linearize=False, skip=['fullblock'])
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