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

[Generated automatically as a Tutorial summary]

## Model Description

Name:

  d1cmp_cl_iov

Title:

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

Author:

  PoPy for PK/PD

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:

## Comparison

### True objective value

    -344.3936

### Final fitted objective value

    -353.3355

### Compare Main f[X]

Name | Initial | Fitted | True | Abs. Error | Prop. Error
--- | --- | --- | --- | --- | ---
f[KA] | 0.5 | 0.271 | 0.3 | 2.89e-02 | 9.62%
f[CL] | 1 | 2.4 | 3 | 5.99e-01 | 19.98%
f[V] | 15 | 18.4 | 20 | 1.61e+00 | 8.04%

### Compare Noise f[X]

Name | Initial | Fitted | True | Abs. Error | Prop. Error
--- | --- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2 | 0.0935 | 0.1 | 6.51e-03 | 6.51%
f[ANOISE_STD] | 0.2 | 0.0487 | 0.05 | 1.32e-03 | 2.64%

### Compare Variance f[X]

Name | Initial | Fitted | True | Abs. Error | Prop. Error
--- | --- | --- | --- | --- | ---
f[CL_isv] | 0.01 | 0.0829 | 0.2 | 1.17e-01 | 58.56%
f[CL_iov] | 0.01 | 0.107 | 0.1 | 7.32e-03 | 7.32%

## Outputs

### Fitted f[X] values (after fitting)

    f[KA] = 0.2711
    f[CL] = 2.4007
    f[V] = 18.3926
    f[PNOISE_STD] = 0.0935
    f[ANOISE_STD] = 0.0487
    f[CL_isv] = 0.0829
    f[CL_iov] = 0.1073

### Generated data .csv file

Synthetic Data:

  `synthetic_data.csv`

### Gen and Fit 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)

## Inputs

### True f[X] values (for simulation)

    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 (before fitting)

    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