# 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] = 1.0000
    f[CL] = 1.8764
    f[V] = 19.6864
    f[PNOISE_STD] = 0.2153
    f[ANOISE_STD] = 0.0468
    f[CL_isv] = 0.2677
    f[CL_iov] = 0.0084

## Plots

### Dense comp plots

Alternatively see All dense_comp graph plots

## Comparison

### True objective value

    -352.8545

### Final fitted objective value

    -276.4412

### 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 | 1.88 | 3 | 37.45% | 1.12e+00
f[V] | 15 | 19.7 | 20 | 1.57% | 3.14e-01

### Compare Noise f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2 | 0.215 | 0.1 | 115.30% | 1.15e-01
f[ANOISE_STD] | 0.2 | 0.0468 | 0.05 | 6.41% | 3.21e-03

### Compare Variance f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[CL_isv] | 0.01 | 0.268 | 0.5 | 46.46% | 2.32e-01
f[CL_iov] | 0.01 | 0.00843 | 0.01 | 15.67% | 1.57e-03