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Model containing additive error only and additive error only input data

[Generated automatically as a Fitting summary]

Model Description

Name:ao_gen_ao_fit
Title:Model containing additive error only and additive error only input data
Author:PoPy for PK/PD
Abstract:
One compartment model with a depot leading to a central compartment.
This model contains additive error only and the synthetic input data contains additive error only.
Keywords:one compartment model; dep_one_cmp_cl; additive error
Input Script:ao_gen_ao_fit_fit.pyml
Diagram:

Comparison

Compare Main f[X]

Compare Noise f[X]

Variable Name Starting Value Fitted Value Abs Change Prop Change
f[ANOISE_STD] 0.2500 0.0464 0.2036 0.8145

Compare Variance f[X]

Population simulated (sim) plots

allOBS_vs_TIME
CWRES(DV_CENTRAL)_vs_IPRED(DV_CENTRAL)
indOBS_vs_TIME
IRES(DV_CENTRAL)_vs_IPRED(DV_CENTRAL)
WRES(DV_CENTRAL)_vs_PPRED(DV_CENTRAL)

Outputs

Final objective value

-514.1953

which required 1.7 iterations and took 0.68 seconds

Fitted f[X] values (after fitting)

f[ANOISE_STD] = 0.0464

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)
Likelihoods:lx_params.csv (fit)

Inputs

Input Data:cx_obs_params.csv

Starting f[X] values (before fitting)

f[ANOISE_STD] = 0.2500
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