set_weighted_error_model

pharmpy.modeling.set_weighted_error_model(model)

Encode error model with one epsilon and W as weight

Parameters:

model (Model) – Pharmpy model

Returns:

Model – Updated Pharmpy model

Examples

>>> from pharmpy.modeling import load_example_model, set_weighted_error_model
>>> model = load_example_model("pheno")
>>> model = set_weighted_error_model(model)

See also

use_thetas_for_error_stdev

Use thetas to estimate error