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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
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
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

Fitted f[X] values

f[KA] = 1
f[CL] = 2.1462
f[V] = 22.086
f[PNOISE_STD] = 0.46359
f[ANOISE_STD] = 0.061732
f[CL_isv] = 4.2967
f[CL_iov] = 0

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

242.737153435

Final fitted objective value

-163.412466343

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 2.15 3 28.46% 8.54e-01
f[V] 15 22.1 20 10.43% 2.09e+00

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[PNOISE_STD] 0.2 0.464 0.1 363.59% 3.64e-01
f[ANOISE_STD] 0.2 0.0617 0.05 23.46% 1.17e-02

Compare Variance f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[CL_isv] 0.01 4.3 0.2 2048.35% 4.10e+00
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