One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
Name: | dep_one_cmp_cl_iov_05 |
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Title: | One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5 |
Author: | Wright Dose Ltd |
Abstract: |
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_isv] true value is 0.5
Keywords: | one compartment model; dep_one_cmp_cl; iov |
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Input Script: | dep_one_cmp_cl_iov_05_fit.pyml |
Input Data: | synthetic_data.csv |
Diagram: |
Initial fixed effect estimates¶
f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[PNOISE_STD] = 0.2000
f[ANOISE_STD] = 0.2000
f[CL_isv] = 0.0100
f[CL_iov] = 0.0100
Outputs¶
Final fitted fixed effects¶
f[KA] = 1.0000
f[CL] = 1.8764
f[V] = 19.6864
f[PNOISE_STD] = 0.2153
f[ANOISE_STD] = 0.0468
f[CL_isv] = 0.2677
f[CL_iov] = 0.0084
Fitted parameter .csv files¶
Fixed Effects: | fx_params.csv (fit) |
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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]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[KA] | 1.0000 | 0.5000 | 1.0000 | 0.5000 |
f[CL] | 1.8764 | 1.0000 | 0.8764 | 0.8764 |
f[V] | 19.6864 | 15.0000 | 0.3124 | 4.6864 |
Compare Noise f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE_STD] | 0.2153 | 0.2000 | 0.0765 | 0.0153 |
f[ANOISE_STD] | 0.0468 | 0.2000 | 0.7660 | 0.1532 |
Compare Variance f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[CL_isv] | 0.2677 | 0.0100 | 25.7719 | 0.2577 |
f[CL_iov] | 0.0084 | 0.0100 | 0.1567 | 0.0016 |