Full matrix generation full matrix fit¶

[Generated automatically as a Fitting 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_fit.pyml`
Input Data:	`synthetic_data.csv`
Diagram:

Initial fixed effect estimates¶

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, 0.0010 ],
    [ 0.0010, 0.0100 ],
]

Outputs¶

Final objective value¶

-2214.8020

which required N. iterations and took 1350.34 seconds

Final fitted fixed effects¶

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] = [
    [ 0.1322, 0.0577 ],
    [ 0.0577, 0.1385 ],
]

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)`