# 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

### Generating and Fitting Summaries

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

### Fitted f[X] values

    f[KA] = 1
    f[CL] = 2.211
    f[V] = 20.54
    f[PNOISE_STD] = 0.2123
    f[ANOISE_STD] = 0.05187
    f[CL_isv] = 0.073326
    f[CL_iov] = 0.10083

## Plots

### Dense comp plots

Alternatively see All dense_comp graph plots

## Comparison

### True objective value

    -344.39339052

### Final fitted objective value

    -276.187185145

### 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 | 2.21 | 3 | 26.30% | 7.89e-01
f[V] | 15 | 20.5 | 20 | 2.70% | 5.40e-01

### Compare Noise f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2 | 0.212 | 0.1 | 112.30% | 1.12e-01
f[ANOISE_STD] | 0.2 | 0.0519 | 0.05 | 3.74% | 1.87e-03

### Compare Variance f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[CL_isv] | 0.01 | 0.0733 | 0.2 | 63.34% | 1.27e-01
f[CL_iov] | 0.01 | 0.101 | 0.1 | 0.83% | 8.26e-04