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', ...)