add_covariance_step#
- pharmpy.modeling.add_covariance_step(model, cov)[source]#
Adds covariance step to the final estimation step
- Parameters:
model (Model) – Pharmpy model
cov (str) – covariance method to use
- Returns:
Model – Pharmpy model object
Examples
>>> from pharmpy.modeling import * >>> model = load_example_model("pheno") >>> model = set_estimation_step(model, 'FOCE', cov=None) >>> model = add_covariance_step(model, 'SANDWICH') >>> ests = model.estimation_steps >>> ests[0] EstimationStep('FOCE', interaction=True, cov='SANDWICH', ...)