- Language: en
Model containing both proportional and additive error¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
Name: | pa_gen_pa_fit |
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Title: | Model containing both proportional and additive error |
Author: | Wright Dose Ltd |
Abstract: |
One compartment model with a depot leading to a central compartment.
This model contains both proportional and additive error.
Keywords: | one compartment model; one_two_cmp_cl; proportional and additive error |
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Input Script: | pa_tut.pyml |
Diagram: |
Failed to create compartment diagram
True f[X] values¶
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0500
Starting f[X] values¶
f[PNOISE_STD] = 0.5000
f[ANOISE_STD] = 0.2500
Outputs¶
Generating and Fitting Summaries¶
Fitted f[X] values¶
f[PNOISE_STD] = 0.0951
f[ANOISE_STD] = 0.0453
Plots¶
Comparison¶
True objective value¶
-395.5169
Final fitted objective value¶
-396.6598
Compare Main f[X]¶
No Main f[X] values to compare.
Compare Noise f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[PNOISE_STD] | 0.5 | 0.0951 | 0.1 | 4.91% | 4.91e-03 |
f[ANOISE_STD] | 0.25 | 0.0453 | 0.05 | 9.36% | 4.68e-03 |
Compare Variance f[X]¶
No Variance f[X] values to compare.