- Language: en
Full matrix generation diagonal matrix fit¶
[Generated automatically as a Fitting 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_fit.pyml |
| Input Data: | synthetic_data.csv |
| Diagram: |
Initial fixed effect estimates¶
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¶
Final fitted fixed effects¶
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] = [
[ 0.11772, 0 ],
[ 0, 0.12139 ]
]
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) |
