One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
Name: | dep_one_cmp_cl_iov_naive |
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Title: | One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0 |
Author: | Wright Dose Ltd |
Abstract: |
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_iov] is not estimated it is set to zero.
Keywords: | one compartment model; dep_one_cmp_cl; iov |
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Input Script: | dep_one_cmp_cl_iov_naive.pyml |
Diagram: |
Failed to create compartment diagram
True f[X] values¶
f[KA] = 0.3
f[CL] = 3
f[V] = 20
f[PNOISE_STD] = 0.1
f[ANOISE_STD] = 0.05
f[CL_isv] = 0.2
f[CL_iov] = 0.1
Starting f[X] values¶
f[KA] = 0.5
f[CL] = 1
f[V] = 15
f[PNOISE_STD] = 0.2
f[ANOISE_STD] = 0.2
f[CL_isv] = 0.01
f[CL_iov] = 0
Outputs¶
Generating and Fitting Summaries¶
Fitted f[X] values¶
f[KA] = 1
f[CL] = 2.1402
f[V] = 21.991
f[PNOISE_STD] = 0.46239
f[ANOISE_STD] = 0.061691
f[CL_isv] = 4.0946
f[CL_iov] = 0
Plots¶
Comparison¶
True objective value¶
-344.39339052
Final fitted objective value¶
-163.741812002
Compare Main f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[KA] | 0.5 | 1 | 0.3 | 233.33% | 7.00e-01 |
f[CL] | 1 | 2.14 | 3 | 28.66% | 8.60e-01 |
f[V] | 15 | 22 | 20 | 9.96% | 1.99e+00 |
Compare Noise f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[PNOISE_STD] | 0.2 | 0.462 | 0.1 | 362.39% | 3.62e-01 |
f[ANOISE_STD] | 0.2 | 0.0617 | 0.05 | 23.38% | 1.17e-02 |
Compare Variance f[X]¶
Name | Initial | Fitted | True | Prop. Error | Abs. Error |
---|---|---|---|---|---|
f[CL_isv] | 0.01 | 4.09 | 0.2 | 1947.28% | 3.89e+00 |