Demonstration of CWRES diagnostic

[Generated automatically as a Tutorial summary]

Model Description

Name:

cwres_emax_correct_model

Title:

Demonstration of CWRES diagnostic

Author:

PoPy for PK/PD

Abstract:

Demonstration of CWRES diagnostic on Hooker’s Emax model with
correct population parameters
Keywords:

cwres; emax

Input Script:

cwres_emax_correct_model.pyml

Diagram:

Comparison

True objective value

22543.0278

Final fitted objective value

22543.0278

Compare Main f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[EMAX]

100

100

100

0.00e+00

0.00%

f[C50]

20

20

20

0.00e+00

0.00%

Compare Noise f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[Hill]

4.5

4.5

4.5

0.00e+00

0.00%

Compare Variance f[X]

Name

Initial

Fitted

True

Abs. Error

Prop. Error

f[EMAX_isv]

0.5

0.5

0.5

0.00e+00

0.00%

f[C50_isv]

0.5

0.5

0.5

0.00e+00

0.00%

Outputs

Fitted f[X] values (after fitting)

f[EMAX] = 100.0000
f[C50] = 20.0000
f[Hill] = 4.5000
f[EMAX_isv] = 0.5000
f[C50_isv] = 0.5000

Generated data .csv file

Synthetic Data:

synthetic_data.csv

Gen and Fit Summaries

Inputs

True f[X] values (for simulation)

f[EMAX] = 100.0000
f[C50] = 20.0000
f[Hill] = 4.5000
f[EMAX_isv] = 0.5000
f[C50_isv] = 0.5000

Starting f[X] values (before fitting)

f[EMAX] = 100.0000
f[C50] = 20.0000
f[Hill] = 4.5000
f[EMAX_isv] = 0.5000
f[C50_isv] = 0.5000