calculate_individual_shrinkage#

pharmpy.modeling.calculate_individual_shrinkage(model, parameter_estimates, individual_estimates_covariance)[source]#

Calculate the individual eta-shrinkage

Definition: ieta_shr = (var(eta) / omega)

Parameters:
  • model (Model) – Pharmpy model

  • parameter_estimates (pd.Series) – Parameter estimates of model

  • individual_estimates_covariance (pd.DataFrame) – Uncertainty covariance matrices of individual estimates

Returns:

DataFrame – Shrinkage for each eta and individual

Examples

>>> from pharmpy.modeling import *
>>> from pharmpy.tools import load_example_modelfit_results
>>> model = load_example_model("pheno")
>>> results = load_example_modelfit_results("pheno")
>>> pe = results.parameter_estimates
>>> covs = results.individual_estimates_covariance
>>> calculate_individual_shrinkage(model, pe, covs)
       ETA_1     ETA_2
ID
1   0.847789  0.256473
2   0.796643  0.210669
3   0.755025  0.226957
4   0.764541  0.216405
5   0.816192  0.203974
6   0.778108  0.210992
7   0.659420  0.236875
8   0.668551  0.240097
9   0.260056  0.200374
10  0.725190  0.226563
11  0.972110  0.421852
12  0.249640  0.254119
13  0.730294  0.364932
14  0.165785  0.194464
15  0.813399  0.313554
16  0.797328  0.213211
17  0.769059  0.278079
18  0.098506  0.176778
19  0.749022  0.235386
20  0.742181  0.222932
21  0.317956  0.264473
22  0.943950  0.232732
23  0.707183  0.259077
24  0.553787  0.247717
25  0.826349  0.114302
26  0.854777  0.341384
27  0.820829  0.263235
28  0.999942  0.319986
29  0.967084  0.432760
30  0.404773  0.325215
31  0.999980  0.318421
32  0.925283  0.167667
33  0.913706  0.242106
34  0.875554  0.249197
35  0.849135  0.294294
36  0.172206  0.246422
37  0.747380  0.278340
38  0.187440  0.231249
39  0.237805  0.254485
40  0.999925  0.189793
41  0.941906  0.170998
42  0.923801  0.244046
43  0.999928  0.320403
44  0.237637  0.260453
45  0.869540  0.194503
46  0.999949  0.319750
47  0.983782  0.393234
48  0.698267  0.169337
49  0.776674  0.214962
50  0.688847  0.192608
51  0.822213  0.202534
52  0.511489  0.273601
53  0.964757  0.223448
54  0.762153  0.181648
55  0.965657  0.435741
56  0.995278  0.354798
57  0.813382  0.263372
58  0.727295  0.232867
59  0.738777  0.224742