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

[Generated automatically as a Tutorial summary]

## Model Description

Name:

  d1cmp_cl_iov_05

Title:

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

Author:

  PoPy for PK/PD

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:

## Comparison

### True objective value

    -352.8548

### Final fitted objective value

    -365.3290

### Compare Main f[X]

Name | Initial | Fitted | True | Abs. Error | Prop. Error
--- | --- | --- | --- | --- | ---
f[KA] | 0.5 | 0.269 | 0.3 | 3.14e-02 | 10.46%
f[CL] | 1 | 2.09 | 3 | 9.06e-01 | 30.19%
f[V] | 15 | 18.2 | 20 | 1.83e+00 | 9.17%

### Compare Noise f[X]

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

### Compare Variance f[X]

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

## Outputs

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

    f[KA] = 0.2686
    f[CL] = 2.0943
    f[V] = 18.1651
    f[PNOISE_STD] = 0.0889
    f[ANOISE_STD] = 0.0486
    f[CL_isv] = 0.2835
    f[CL_iov] = 0.0105

### 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]=0.5 (gen)

- Fit: One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5 (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] = 0.5000
    f[CL_iov] = 0.0100

### 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