One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
| Name: | dep_one_cmp_cl_iov_naive |
|---|---|
| Title: | One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0 |
| Author: | Wright Dose Ltd |
| Abstract: |
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_iov] is not estimated it is set to zero.
| Keywords: | one compartment model; dep_one_cmp_cl; iov |
|---|---|
| Input Script: | dep_one_cmp_cl_iov_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
f[CL_iov] = 0.1000
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] = 0.0100
f[CL_iov] = 0.0000
Outputs¶
Generating and Fitting Summaries¶
Fitted f[X] values¶
f[KA] = 1.0000
f[CL] = 2.2395
f[V] = 24.3910
f[PNOISE_STD] = 0.4529
f[ANOISE_STD] = 0.0599
f[CL_isv] = 0.1276
f[CL_iov] = 0.0000
Plots¶
Comparison¶
True objective value¶
242.7108
Final fitted objective value¶
-190.0802
Compare Main f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[KA] | 0.5 | 1 | 0.3 | 233.33% | 7.00e-01 |
| f[CL] | 1 | 2.24 | 3 | 25.35% | 7.61e-01 |
| f[V] | 15 | 24.4 | 20 | 21.96% | 4.39e+00 |
Compare Noise f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[PNOISE_STD] | 0.2 | 0.453 | 0.1 | 352.93% | 3.53e-01 |
| f[ANOISE_STD] | 0.2 | 0.0599 | 0.05 | 19.84% | 9.92e-03 |
Compare Variance f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[CL_isv] | 0.01 | 0.128 | 0.2 | 36.22% | 7.24e-02 |