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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:

Failed to create compartment 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 0.82 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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