# One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2

[Generated automatically as a Tutorial summary]

## Inputs

### Description

Name: | d1cmp_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: | `d1cmp_cl_iov.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
    f[CL_iov] = 0.1000

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

### Fitted f[X] values

    f[KA] = 0.3345
    f[CL] = 2.5856
    f[V] = 20.2051
    f[PNOISE_STD] = 0.1000
    f[ANOISE_STD] = 0.0479
    f[CL_isv] = 0.1199
    f[CL_iov] = 0.0783

## Plots

### Dense comp plots

Alternatively see All dense_comp graph plots

## Comparison

### True objective value

    -358.2450

### Final fitted objective value

    -363.8118

### Compare Main f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[KA] | 0.5 | 0.335 | 0.3 | 11.51% | 3.45e-02
f[CL] | 1 | 2.59 | 3 | 13.81% | 4.14e-01
f[V] | 15 | 20.2 | 20 | 1.03% | 2.05e-01

### Compare Noise f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2 | 0.1… | 0.1 | 0.03% | 3.15e-05
f[ANOISE_STD] | 0.2 | 0.0479 | 0.05 | 4.20% | 2.10e-03

### Compare Variance f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[CL_isv] | 0.01 | 0.12 | 0.2 | 40.03% | 8.01e-02
f[CL_iov] | 0.01 | 0.0783 | 0.1 | 21.69% | 2.17e-02