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

[Generated automatically as a Tutorial summary]

## Inputs

### Description

Name: | dep_one_cmp_cl_isv
Title: | One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2
Author: | Wright Dose Ltd
Abstract: |

Population one Compartment Model with Absorption and Inter-subject Variance

Keywords: | one compartment model; dep_one_cmp_cl
Input Script: | `dep_one_cmp_cl_isv.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

### 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

## Outputs

### Generating and Fitting Summaries

- Gen: One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2 (gen)
- Fit: One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2 (fit)

### Fitted f[X] values

    f[KA] = 0.2643
    f[CL] = 2.7416
    f[V] = 19.1995
    f[PNOISE_STD] = 0.1131
    f[ANOISE_STD] = 0.0417
    f[CL_isv] = 0.1648

## Plots

### Dense comp plots

Alternatively see All dense_comp graph plots

## Comparison

### True objective value

    -362.6880

### Final fitted objective value

    -371.3278

### Compare Main f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[KA] | 0.5 | 0.264 | 0.3 | 11.91% | 3.57e-02
f[CL] | 1 | 2.74 | 3 | 8.61% | 2.58e-01
f[V] | 15 | 19.2 | 20 | 4.00% | 8.01e-01

### Compare Noise f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2 | 0.113 | 0.1 | 13.11% | 1.31e-02
f[ANOISE_STD] | 0.2 | 0.0417 | 0.05 | 16.63% | 8.32e-03

### Compare Variance f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[CL_isv] | 0.01 | 0.165 | 0.2 | 17.61% | 3.52e-02