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

-231.2926

which required N. iterations and took 0.60 seconds

Final fitted fixed effects

f[PNOISE_STD] = 0.5138

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] 0.5138 0.5000 0.0276 0.0138

Compare Variance f[X]