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] = 2.2932
f[V] = 24.0277
f[PNOISE_STD] = 0.4973
f[ANOISE_STD] = 0.0595
f[CL_isv] = 10.0000
f[CL_iov] = 0.0000
Plots¶
Comparison¶
True objective value¶
-344.3934
Final fitted objective value¶
-156.7245
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 | 2.29 | 3 | 23.56% | 7.07e-01 |
| f[V] | 15 | 24 | 20 | 20.14% | 4.03e+00 |
Compare Noise f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[PNOISE_STD] | 0.2 | 0.497 | 0.1 | 397.31% | 3.97e-01 |
| f[ANOISE_STD] | 0.2 | 0.0595 | 0.05 | 18.99% | 9.50e-03 |
Compare Variance f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[CL_isv] | 0.01 | 10 | 0.2 | 4900.00% | 9.80e+00 |