- Language: en
Model containing both proportional and additive error¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
Name: | pa_gen_pa_fit |
---|---|
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 |
---|---|
Input Script: | pa_tut.pyml |
Diagram: |
Failed to create compartment diagram
True f[X] values¶
f[PNOISE_STD] = 0.1
f[ANOISE_STD] = 0.05
Starting f[X] values¶
f[PNOISE_STD] = 0.5
f[ANOISE_STD] = 0.25
Outputs¶
Generating and Fitting Summaries¶
Fitted f[X] values¶
f[PNOISE_STD] = 0.095119
f[ANOISE_STD] = 0.045335
Plots¶
Comparison¶
True objective value¶
-395.516850454
Final fitted objective value¶
-396.659750362
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 | 4.88% | 4.88e-03 |
f[ANOISE_STD] | 0.25 | 0.0453 | 0.05 | 9.33% | 4.66e-03 |
Compare Variance f[X]¶
No Variance f[X] values to compare.