Additive noise model fitted to proportional noise only synthetic data.

[Generated automatically as a Fitting summary]

Inputs

Description

Name:po_gen_ao_fit
Title:Additive noise model fitted to proportional noise only synthetic data.
Author:Wright Dose Ltd
Abstract:
One compartment model with a depot leading to a central compartment.
This model contains additive error only. The synthetic input data only contains additive noise too.
Keywords:one compartment model; dep_one_cmp_cl; additive error
Input Script:po_gen_ao_fit.pyml
Input Data:synthetic_data.csv
Diagram:

Initial fixed effect estimates

f[ANOISE_STD] = 0.2500

Outputs

Final objective value

-341.7118

which required N. iterations and took 0.59 seconds

Final fitted fixed effects

f[ANOISE_STD] = 0.1099

Fitted parameter .csv files

Fixed Effects:fx_params.csv (fit)
Random Effects:rx_params.csv (fit)
Model params:mx_params.csv (fit)
State values:sx_params.csv (fit)
Predictions:px_params.csv (fit)

Plots

Dense sim plots

Alternatively see All dense_sim graph plots

Comparison

Compare Main f[X]

Compare Noise f[X]

Variable Name Fitted Value Starting Value Prop Change Abs Change
f[ANOISE_STD] 0.1099 0.2500 0.5605 0.1401

Compare Variance f[X]