# 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] = 1.0000
    f[CL] = 2.4774
    f[V] = 21.8885
    f[PNOISE_STD] = 0.2295
    f[ANOISE_STD] = 0.0372
    f[CL_isv] = 0.1278

## Plots

### Dense comp plots

Alternatively see All dense_comp graph plots

## Comparison

### True objective value

    -362.6898

### Final fitted objective value

    -312.0721

### 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 | 2.48 | 3 | 17.42% | 5.23e-01
f[V] | 15 | 21.9 | 20 | 9.44% | 1.89e+00

### Compare Noise f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2 | 0.229 | 0.1 | 129.47% | 1.29e-01
f[ANOISE_STD] | 0.2 | 0.0372 | 0.05 | 25.68% | 1.28e-02

### Compare Variance f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[CL_isv] | 0.01 | 0.128 | 0.2 | 36.09% | 7.22e-02