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: | pa_tut.pyml |
| 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: | synthetic_data.csv |
|---|