One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
| Name: | dep_one_cmp_cl_isv_naive |
|---|---|
| Title: | One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0 |
| Author: | Wright Dose Ltd |
| Abstract: |
Population one Compartment Model with Absorption and Inter-subject Variance
Here f[CL_isv] is not estimated it is set to zero.
| Keywords: | one compartment model; dep_one_cmp_cl |
|---|---|
| Input Script: | dep_one_cmp_cl_isv_naive.pyml |
| Diagram: |
True f[X] values¶
f[KA] = 0.3000
f[CL] = 3.0000
f[V] = 20.0000
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0500
f[CL_isv] = 0.2000
Starting f[X] values¶
f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[PNOISE_STD] = 0.2000
f[ANOISE_STD] = 0.2000
f[CL_isv] = 0.0000
Outputs¶
Generating and Fitting Summaries¶
Fitted f[X] values¶
f[KA] = 0.1818
f[CL] = 2.5518
f[V] = 20.1377
f[PNOISE_STD] = 0.4966
f[ANOISE_STD] = 0.1279
f[CL_isv] = 0.0000
Plots¶
Comparison¶
True objective value¶
2777.3504
Final fitted objective value¶
-163.1359
Compare Main f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[KA] | 0.5 | 0.182 | 0.3 | 39.40% | 1.18e-01 |
| f[CL] | 1 | 2.55 | 3 | 14.94% | 4.48e-01 |
| f[V] | 15 | 20.1 | 20 | 0.69% | 1.38e-01 |
Compare Noise f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[PNOISE_STD] | 0.2 | 0.497 | 0.1 | 396.58% | 3.97e-01 |
| f[ANOISE_STD] | 0.2 | 0.128 | 0.05 | 155.81% | 7.79e-02 |
Compare Variance f[X]¶
No Variance f[X] values to compare.