- Language: en
Diagonal matrix generation full matrix fit¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
| Name: | gen_diag_fit_full |
|---|---|
| Title: | Diagonal matrix generation full 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 full covariance matrix to fit.
| Keywords: | dep_one_cmp_cl; one compartment model; diagonal matrix; full matrix |
|---|---|
| Input Script: | gen_diag_fit_full_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] = [
[ 0.177, 0.0094221 ],
[ 0.0094221, 0.085779 ]
]
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) |
Plots¶
Comparison¶
Compare Main f[X]¶
Compare Noise f[X]¶
Compare Variance f[X]¶
| Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[CL_isv] | 0.177002 | 0.01 | 16.7002 | 0.167002 |
| f[CL_isv;V_isv] | 0.00942214 | 0 | 0.00942214 | |
| f[V_isv;CL_isv] | 0.00942214 | 0 | 0.00942214 | |
| f[V_isv] | 0.0857794 | 0.01 | 7.57794 | 0.0757794 |