pharmpy.modeling.evaluate_population_prediction#

pharmpy.modeling.evaluate_population_prediction(model, parameters=None, dataset=None)[source]#

Evaluate the numeric population prediction

The prediction is evaluated at the current model parameter values or optionally at the given parameter values. The evaluation is done for each data record in the model dataset or optionally using the dataset argument.

This function currently only support models without ODE systems

Parameters:

model (Model) – Pharmpy model
parameters (dict) – Optional dictionary of parameters and values
dataset (pd.DataFrame) – Optional dataset

Returns:

pd.Series – Population predictions

Examples

>>> from pharmpy.modeling import load_example_model, evaluate_population_prediction
>>> from pharmpy.tools import load_example_modelfit_results
>>> model = load_example_model("pheno_linear")
>>> results = load_example_modelfit_results("pheno_linear")
>>> pe = results.parameter_estimates
>>> evaluate_population_prediction(model, parameters=dict(pe))
1      17.529739
2      28.179910
3       9.688648
4      17.798916
5      25.023225
         ...
151    22.459036
152    29.223295
153    20.217288
154    28.472888
155    34.226455
Name: PRED, Length: 155, dtype: float64