Model containing exponential error

[Generated automatically as a Tutorial summary]

Model Description

Name:: exp_error
Title:: Model containing exponential error
Author:: PoPy for PK/PD
Abstract:

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

This model contains exponential error.

Keywords:: one compartment model; exponential error
Input Script:: exp_tut.pyml
Diagram:

Comparison

True objective value

38.6652

Final fitted objective value

37.7135

Compare Main f[X]

No Main f[X] values to compare.

Compare Noise f[X]

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[EXP_NOISE]	0.2	0.0935	0.1	6.51e-03	6.51%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[EXP_NOISE] = 0.0935

Generated data .csv file

Synthetic Data:: synthetic_data.csv

Gen and Fit Summaries

Gen: Model containing exponential error (gen)
Fit: Model containing exponential error (fit)

Inputs

True f[X] values (for simulation)

f[EXP_NOISE] = 0.1000

Starting f[X] values (before fitting)

f[EXP_NOISE] = 0.2000