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Full matrix generation diagonal matrix fit

[Generated automatically as a Tutorial summary]

Inputs

Description

Name:gen_full_fit_diag
Title:Full matrix generation diagonal 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, but a diagonal matrix to fit.
Keywords:dep_one_cmp_cl; one compartment model; diagonal matrix; full matrix
Input Script:gen_full_fit_diag_tut.pyml
Diagram:

Failed to create compartment diagram

True f[X] values

f[KA] = 0.3
f[CL] = 3
f[V] = 20
f[PNOISE_STD] = 0.1
f[ANOISE_STD] = 0.05
f[CL_isv,V_isv] = [
    [ 0.15, 0.05 ],
    [ 0.05, 0.15 ]
]

Starting f[X] values

f[KA] = 0.3
f[CL] = 3
f[V] = 20
f[PNOISE_STD] = 0.1
f[ANOISE_STD] = 0.05
f[CL_isv,V_isv] = [
    [ 0.01, 0 ],
    [ 0, 0.01 ]
]

Outputs

Generating and Fitting Summaries

Fitted f[X] values

f[KA] = 0.3
f[CL] = 3
f[V] = 20
f[PNOISE_STD] = 0.1
f[ANOISE_STD] = 0.05
f[CL_isv,V_isv] = [
    [ 0.1176, 0 ],
    [ 0, 0.12337 ]
]

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-2181.82586153

Final fitted objective value

-2187.54202576

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 0.118 0.15 21.60% 3.24e-02
f[CL_isv;V_isv] 0 0 0.05 100.00% 5.00e-02
f[V_isv;CL_isv] 0 0 0.05 100.00% 5.00e-02
f[V_isv] 0.01 0.123 0.15 17.75% 2.66e-02
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