# One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5

[Generated automatically as a Tutorial summary]

## Inputs

### Description

Name: | dep_one_cmp_cl_iov_05
Title: | One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5
Author: | Wright Dose Ltd
Abstract: |

Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_isv] true value is 0.5

Keywords: | one compartment model; dep_one_cmp_cl; iov
Input Script: | `dep_one_cmp_cl_iov_05.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] = 0.5000
    f[CL_iov] = 0.0100

### 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
    f[CL_iov] = 0.0100

## Outputs

### Generating and Fitting Summaries

- Gen: One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5 (gen)
- Fit: One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5 (fit)

### Fitted f[X] values

    f[KA] = 0.2686
    f[CL] = 2.0908
    f[V] = 18.1651
    f[PNOISE_STD] = 0.0889
    f[ANOISE_STD] = 0.0486
    f[CL_isv] = 0.2834
    f[CL_iov] = 0.0105

## Plots

### Dense comp plots

Alternatively see All dense_comp graph plots

## Comparison

### True objective value

    -352.8548

### Final fitted objective value

    -365.3289

### Compare Main f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[KA] | 0.5 | 0.269 | 0.3 | 10.46% | 3.14e-02
f[CL] | 1 | 2.09 | 3 | 30.31% | 9.09e-01
f[V] | 15 | 18.2 | 20 | 9.17% | 1.83e+00

### Compare Noise f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2 | 0.0889 | 0.1 | 11.06% | 1.11e-02
f[ANOISE_STD] | 0.2 | 0.0486 | 0.05 | 2.79% | 1.40e-03

### Compare Variance f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[CL_isv] | 0.01 | 0.283 | 0.5 | 43.31% | 2.17e-01
f[CL_iov] | 0.01 | 0.0105 | 0.01 | 5.18% | 5.18e-04