use_thetas_for_error_stdev#
- pharmpy.modeling.use_thetas_for_error_stdev(model)[source]#
Use thetas to estimate standard deviation of error
- Parameters:
model (Model) – Pharmpy model
- Returns:
Model – Pharmpy model object
Examples
>>> from pharmpy.modeling import load_example_model, use_thetas_for_error_stdev >>> model = load_example_model("pheno") >>> model = use_thetas_for_error_stdev(model) >>> model.statements.find_assignment("W") W = F⋅SD_EPS_1 >>> model.statements.find_assignment("Y") Y = EPS₁⋅W + F
See also
set_weighted_error_model
Encode error model with one epsilon and weight