set_estimation_step#

pharmpy.modeling.set_estimation_step(model, method, idx=0, **kwargs)[source]#

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 ({‘FO’, ‘FOCE’, ‘ITS’, ‘LAPLACE’, ‘IMPMAP’, ‘IMP’, ‘SAEM’, ‘BAYES’}) – 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.estimation_steps[0]   
EstimationStep('IMP', interaction=True, parameter_uncertainty_method='SANDWICH', evaluation=True, ...,
tool_options=...