- Language: en
Full matrix generation full matrix fit¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
Name: | gen_full_fit_full |
---|---|
Title: | Full matrix generation full matrix fit |
Author: | Wright Dose Ltd |
Abstract: |
One compartment model with absorption compartment and CL/V parametrisation.
This script uses a full covariance matrix to generate the data and a full covariance matrix to fit.
Keywords: | dep_one_cmp_cl; one compartment model; full matrix |
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Input Script: | gen_full_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] = [
[ 0.15, 0.05 ],
[ 0.05, 0.15 ]
]
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: Full matrix generation full matrix fit (gen)
- Fit: Full 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] = [
[ 0.13098, 0.058938 ],
[ 0.058938, 0.13831 ]
]
Plots¶
Comparison¶
True objective value¶
-2209.43087241
Final fitted objective value¶
-2214.7112463
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 | 0.131 | 0.15 | 12.68% | 1.90e-02 |
f[CL_isv;V_isv] | 0 | 0.0589 | 0.05 | 17.88% | 8.94e-03 |
f[V_isv;CL_isv] | 0 | 0.0589 | 0.05 | 17.88% | 8.94e-03 |
f[V_isv] | 0.01 | 0.138 | 0.15 | 7.79% | 1.17e-02 |