transform_etas_tdist#

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

Applies a t-distribution transformation to selected etas

Initial estimate for degrees of freedom is 80 with bounds (3, 100).

Parameters:

model (Model) – Pharmpy model to apply t distribution 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_tdist(model, ["ETA_CL"])
>>> model.statements.before_odes.full_expression("CL")    
POP_CL*WGT*exp(ETA_CL*(1 + (ETA_CL**2 + 1)/(4*df1) + (5*ETA_CL**4 + 16*ETA_CL**2...