set_estimation_step

pharmpy.modeling.set_estimation_step(model, method, idx=0, **kwargs)

Set estimation step

Sets estimation step for a model. Methods currently supported are:

FO, FOCE, ITS, LAPLACE, IMPMAP, IMP, SAEM, BAYES

Parameters:

• model (Model) – Pharmpy model

• method (MethodType) – estimation method to change to

• idx (int) – index of estimation step, default is 0 (first estimation step)

• kwargs – Arguments to pass to EstimationStep (such as interaction, evaluation)

Returns:

Model – Pharmpy model object

Examples

>>> from pharmpy.modeling import *
>>> model = load_example_model("pheno")
>>> opts = {'NITER': 1000, 'ISAMPLE': 100}
>>> model = set_estimation_step(model, 'IMP', evaluation=True, tool_options=opts)
>>> model.execution_steps[0]   
EstimationStep('IMP', interaction=True, parameter_uncertainty_method='SANDWICH', evaluation=True, ...,
tool_options=...

See also

add_estimation_step, remove_estimation_step, append_estimation_step_options, add_parameter_uncertainty_step, remove_parameter_uncertainty_step, set_evaluation_step