- Language: en
Diagonal matrix generation diagonal matrix fit¶
[Generated automatically as a Fitting 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_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, 0.0000 ],
[ 0.0000, 0.0100 ],
]
Outputs¶
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] = [
[ 0.1766, 0.0000 ],
[ 0.0000, 0.0863 ],
]
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) |
