Model containing both proportional and additive error
[Generated automatically as a Tutorial summary]
Model Description
- Name:
pa_gen_pa_fit
- Title:
Model containing both proportional and additive error
- Author:
PoPy for PK/PD
- Abstract:
One compartment model with a depot leading to a central compartment.
This model contains both proportional and additive error.
- Keywords:
one compartment model; one_two_cmp_cl; proportional and additive error
- Input Script:
- Diagram:
Failed to create compartment diagram
Comparison
True objective value
-395.5169
Final fitted objective value
-396.6598
Compare Main f[X]
No Main f[X] values to compare.
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[PNOISE_STD] |
0.5 |
0.0951 |
0.1 |
4.91e-03 |
4.91% |
f[ANOISE_STD] |
0.25 |
0.0453 |
0.05 |
4.68e-03 |
9.36% |
Compare Variance f[X]
No Variance f[X] values to compare.
Outputs
Fitted f[X] values (after fitting)
f[PNOISE_STD] = 0.0951
f[ANOISE_STD] = 0.0453
Generated data .csv file
- Synthetic Data:
Gen and Fit Summaries
Inputs
True f[X] values (for simulation)
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0500
Starting f[X] values (before fitting)
f[PNOISE_STD] = 0.5000
f[ANOISE_STD] = 0.2500