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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:

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] = 0.01

Outputs

Fitted f[X] values

f[KA] = 1
f[CL] = 2.2203
f[V] = 20.724
f[PNOISE_STD] = 0.21306
f[ANOISE_STD] = 0.052026
f[CL_isv] = 0.072757
f[CL_iov] = 0.1003

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-344.393565165

Final fitted objective value

-276.234739885

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 2.22 3 25.99% 7.80e-01
f[V] 15 20.7 20 3.62% 7.24e-01

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[PNOISE_STD] 0.2 0.213 0.1 113.06% 1.13e-01
f[ANOISE_STD] 0.2 0.052 0.05 4.05% 2.03e-03

Compare Variance f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[CL_isv] 0.01 0.0728 0.2 63.62% 1.27e-01
f[CL_iov] 0.01 0.1… 0.1 0.30% 2.97e-04
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