- 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 |
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Input Script: | gen_diag_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, 0.0001 ],
[ 0.0001, 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] = [
[ 0.1760, 0.0013 ],
[ 0.0013, 0.0868 ],
]
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] | 0.1760 | 0.0100 | 16.5987 | 0.1660 |
f[CL_isv;V_isv] | 0.0013 | 0.0001 | 11.6292 | 0.0012 |
f[V_isv;CL_isv] | 0.0013 | 0.0001 | 11.6292 | 0.0012 |
f[V_isv] | 0.0868 | 0.0100 | 7.6758 | 0.0768 |