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Diagonal matrix generation diagonal matrix fit

[Generated automatically as a Tutorial summary]

Inputs

Description

Name:gen_diag_fit_diag
Title:Diagonal matrix generation diagonal matrix fit
Author:Wright Dose Ltd
Abstract:
One compartment model with absorption compartment and CL/V parametrisation.
This script uses a diagonal covariance matrix to generate the data and a diagonal covariance matrix to fit.
Keywords:one compartment model; dep_one_cmp_cl; diagonal matrix
Input Script:gen_diag_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] = [
    [ 0.2, 0 ],
    [ 0, 0.1 ]
]

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

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] = [
    [ 0.175, 0 ],
    [ 0, 0.087425 ]
]

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-2170.87181473

Final fitted objective value

-2172.76457339

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 0.175 0.2 12.50% 2.50e-02
f[CL_isv;V_isv] 0 0 0 inf 0.00e+00
f[V_isv;CL_isv] 0 0 0 inf 0.00e+00
f[V_isv] 0.01 0.0874 0.1 12.57% 1.26e-02
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