- Language: en
Diagonal matrix generation full matrix fit¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
| Name: | gen_diag_fit_full |
|---|---|
| Title: | Diagonal matrix generation full matrix fit |
| Author: | Wright Dose Ltd |
| Abstract: |
One compartment model with absorption compartment and CL/V parametrisation.
This script uses a diagonal covariance matrix to generate the data and a full covariance matrix to fit.
| Keywords: | dep_one_cmp_cl; one compartment model; diagonal matrix; full matrix |
|---|---|
| Input Script: | gen_diag_fit_full_tut.pyml |
| Diagram: |
Failed to create compartment diagram
True f[X] values¶
f[KA] = 0.3
f[CL] = 3
f[V] = 20
f[PNOISE_STD] = 0.1
f[ANOISE_STD] = 0.05
f[CL_isv,V_isv] = [
[ 0.2, 0 ],
[ 0, 0.1 ]
]
Starting f[X] values¶
f[KA] = 0.3
f[CL] = 3
f[V] = 20
f[PNOISE_STD] = 0.1
f[ANOISE_STD] = 0.05
f[CL_isv,V_isv] = [
[ 0.01, 0 ],
[ 0, 0.01 ]
]
Outputs¶
Generating and Fitting Summaries¶
- Gen: Diagonal matrix generation full matrix fit (gen)
- Fit: Diagonal matrix generation full matrix fit (fit)
Fitted f[X] values¶
f[KA] = 0.3
f[CL] = 3
f[V] = 20
f[PNOISE_STD] = 0.1
f[ANOISE_STD] = 0.05
f[CL_isv,V_isv] = [
[ 0.177, 0.0094221 ],
[ 0.0094221, 0.085779 ]
]
Plots¶
Comparison¶
True objective value¶
-2170.87181473
Final fitted objective value¶
-2173.24520798
Compare Main f[X]¶
No Main f[X] values to compare.
Compare Noise f[X]¶
No Noise f[X] values to compare.
Compare Variance f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[CL_isv] | 0.01 | 0.177 | 0.2 | 11.50% | 2.30e-02 |
| f[CL_isv;V_isv] | 0 | 0.00942 | 0 | inf | 9.42e-03 |
| f[V_isv;CL_isv] | 0 | 0.00942 | 0 | inf | 9.42e-03 |
| f[V_isv] | 0.01 | 0.0858 | 0.1 | 14.22% | 1.42e-02 |