• Language: en

Full matrix generation full matrix fit

[Generated automatically as a Tutorial summary]

Inputs

Description

Name:gen_full_fit_full
Title:Full matrix generation full matrix fit
Author:Wright Dose Ltd
Abstract:
One compartment model with absorption compartment and CL/V parametrisation.
This script uses a full covariance matrix to generate the data and a full covariance matrix to fit.
Keywords:dep_one_cmp_cl; one compartment model; full matrix
Input Script:gen_full_fit_full_tut.pyml
Diagram:

True f[X] values

f[KA] = 0.3000
f[CL] = 3.0000
f[V] = 20.0000
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0500
f[CL_isv,V_isv] = [
    [ 0.1500, 0.0500 ],
    [ 0.0500, 0.1500 ]
]

Starting f[X] values

f[KA] = 0.3000
f[CL] = 3.0000
f[V] = 20.0000
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0500
f[CL_isv,V_isv] = [
    [ 0.0100, 0.0000 ],
    [ 0.0000, 0.0100 ]
]

Outputs

Generating and Fitting Summaries

Fitted f[X] values

f[KA] = 0.3000
f[CL] = 3.0000
f[V] = 20.0000
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0500
f[CL_isv,V_isv] = [
    [ 0.1311, 0.0591 ],
    [ 0.0591, 0.1385 ]
]

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-2209.4345

Final fitted objective value

-2214.7087

Compare Main f[X]

No Main f[X] values to compare.

Compare Noise f[X]

No Noise f[X] values to compare.

Compare Variance f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[CL_isv] 0.01 0.131 0.15 12.63% 1.89e-02
f[CL_isv;V_isv] 0 0.0591 0.05 18.14% 9.07e-03
f[V_isv;CL_isv] 0 0.0591 0.05 18.14% 9.07e-03
f[V_isv] 0.01 0.139 0.15 7.67% 1.15e-02
Back to Top