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One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2

[Generated automatically as a Tutorial summary]

Inputs

Description

Name:dep_one_cmp_cl_iov
Title:One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2
Author:Wright Dose Ltd
Abstract:
Population one Compartment Model with Absorption and Inter-occasion Variance
Keywords:one compartment model; dep_one_cmp_cl; iov
Input Script:dep_one_cmp_cl_iov.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] = 0.2000
f[CL_iov] = 0.1000

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

Fitted f[X] values

f[KA] = 0.2711
f[CL] = 2.4007
f[V] = 18.3926
f[PNOISE_STD] = 0.0935
f[ANOISE_STD] = 0.0487
f[CL_isv] = 0.0829
f[CL_iov] = 0.1073

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-344.3936

Final fitted objective value

-353.3355

Compare Main f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[KA] 0.5 0.271 0.3 9.62% 2.89e-02
f[CL] 1 2.4 3 19.98% 5.99e-01
f[V] 15 18.4 20 8.04% 1.61e+00

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[PNOISE_STD] 0.2 0.0935 0.1 6.51% 6.51e-03
f[ANOISE_STD] 0.2 0.0487 0.05 2.64% 1.32e-03

Compare Variance f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[CL_isv] 0.01 0.0829 0.2 58.57% 1.17e-01
f[CL_iov] 0.01 0.107 0.1 7.32% 7.32e-03
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