transform_etas_boxcox#

pharmpy.modeling.transform_etas_boxcox(model, list_of_etas=None)[source]#

Applies a boxcox transformation to selected etas

Initial estimate for lambda is 0.1 with bounds (-3, 3).

Parameters:

model (Model) – Pharmpy model to apply boxcox transformation to.
list_of_etas (str, list) – Name/names of etas to transform. If None, all etas will be transformed (default).

Returns:

Model – Pharmpy model object

Examples

>>> from pharmpy.modeling import *
>>> model = load_example_model("pheno")
>>> model = transform_etas_boxcox(model, ["ETA_1"])
>>> model.statements.before_odes.full_expression("CL")
PTVCL*WGT*exp((exp(ETA_1)**lambda1 - 1)/lambda1)