Proportional only error model fitted to additive noise only synthetic data.

[Generated automatically as a Fitting summary]

Inputs

Description

Name:ao_gen_po_fit Title:Proportional only error model fitted to additive noise only synthetic data. Author:Wright Dose Ltd Abstract:

One compartment model with a depot leading to a central compartment.

This model contains proportional error and no additive error. The synthetic input data file contains additive noise but no proportional noise.

Keywords:one compartment model; dep_one_cmp_cl; proportional error Input Script:ao_gen_po_fit.pyml Input Data:synthetic_data.csv Diagram:

Initial fixed effect estimates

f[PNOISE_STD] = 0.5000

Outputs

Final objective value

-231.2927

which required 5 iterations and took 0.23 seconds

Final fitted fixed effects

f[PNOISE_STD] = 0.5139

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[PNOISE_STD]	0.5139	0.5000	0.0279	0.0139

Compare Variance f[X]