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Model containing proportional error only, with proportional only data

[Generated automatically as a Fitting summary]

Inputs

Description

Name:po_gen_po_fit
Title:Model containing proportional error only, with proportional only 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 contains only proportional error too.
Keywords:one compartment model; dep_one_cmp_cl; proportional error
Input Script:po_gen_po_fit_fit.pyml
Input Data:synthetic_data.csv
Diagram:

Initial fixed effect estimates

f[PNOISE_STD] = 0.5

Outputs

Final objective value

-572.821010245

which required N. iterations and took 149.59 seconds

Final fitted fixed effects

f[PNOISE_STD] = 0.093211

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] 0.0932113 0.5 0.813577 0.406789

Compare Variance f[X]

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