One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
Name: | d1cmp_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: | d1cmp_cl_iov_05.pyml |
Diagram: |
True f[X] values¶
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] = 0.5000
f[CL_iov] = 0.0100
Starting f[X] values¶
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¶
Generated data .csv file¶
Synthetic Data: | synthetic_data.csv |
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Generating and Fitting Summaries¶
Fitted f[X] values¶
f[KA] = 0.3156
f[CL] = 2.3644
f[V] = 19.7231
f[PNOISE_STD] = 0.0984
f[ANOISE_STD] = 0.0486
f[CL_isv] = 0.3029
f[CL_iov] = 0.0029
Plots¶
Comparison¶
True objective value¶
-375.4831
Final fitted objective value¶
-384.2726
Compare Main f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[KA] | 0.5 | 0.316 | 0.3 | 5.18% | 1.56e-02 |
f[CL] | 1 | 2.36 | 3 | 21.19% | 6.36e-01 |
f[V] | 15 | 19.7 | 20 | 1.38% | 2.77e-01 |
Compare Noise f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[PNOISE_STD] | 0.2 | 0.0984 | 0.1 | 1.62% | 1.62e-03 |
f[ANOISE_STD] | 0.2 | 0.0486 | 0.05 | 2.76% | 1.38e-03 |
Compare Variance f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[CL_isv] | 0.01 | 0.303 | 0.5 | 39.43% | 1.97e-01 |
f[CL_iov] | 0.01 | 0.00291 | 0.01 | 70.94% | 7.09e-03 |