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

[Generated automatically as a Tutorial summary]

## Inputs

### Description

Name: | d1cmp_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: | `d1cmp_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

### Generated data .csv file

Synthetic Data: | `synthetic_data.csv`

### 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] = 0.3156
    f[CL] = 2.3644
    f[V] = 19.7231
    f[PNOISE_STD] = 0.0984
    f[ANOISE_STD] = 0.0486
    f[CL_isv] = 0.3029
    f[CL_iov] = 0.0029

## Plots

### Dense comp plots

Alternatively see All dense_comp graph plots

## Comparison

### True objective value

    -375.4831

### Final fitted objective value

    -384.2726

### Compare Main f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[KA] | 0.5 | 0.316 | 0.3 | 5.18% | 1.56e-02
f[CL] | 1 | 2.36 | 3 | 21.19% | 6.36e-01
f[V] | 15 | 19.7 | 20 | 1.38% | 2.77e-01

### Compare Noise f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2 | 0.0984 | 0.1 | 1.62% | 1.62e-03
f[ANOISE_STD] | 0.2 | 0.0486 | 0.05 | 2.76% | 1.38e-03

### Compare Variance f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[CL_isv] | 0.01 | 0.303 | 0.5 | 39.43% | 1.97e-01
f[CL_iov] | 0.01 | 0.00291 | 0.01 | 70.94% | 7.09e-03