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