# One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0

[Generated automatically as a Tutorial summary]

## Inputs

### Description

Name: | d1cmp_cl_iov_naive
Title: | One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0
Author: | Wright Dose Ltd
Abstract: |

Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_iov] is not estimated it is set to zero.

Keywords: | one compartment model; dep_one_cmp_cl; iov
Input Script: | `d1cmp_cl_iov_naive.pyml`
Diagram: |

Failed to create compartment 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] = 0.0000

## Outputs

### Generating and Fitting Summaries

- Gen: One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0 (gen)
- Fit: One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0 (fit)

### Fitted f[X] values

    f[KA] = 0.3201
    f[CL] = 2.5351
    f[V] = 20.9743
    f[PNOISE_STD] = 0.2297
    f[ANOISE_STD] = 0.0976
    f[CL_isv] = 0.1395
    f[CL_iov] = 0.0000

## Plots

### Dense comp plots

Alternatively see All dense_comp graph plots

## Comparison

### True objective value

    -43.9474

### Final fitted objective value

    -253.7337

### Compare Main f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[KA] | 0.5 | 0.32 | 0.3 | 6.71% | 2.01e-02
f[CL] | 1 | 2.54 | 3 | 15.50% | 4.65e-01
f[V] | 15 | 21 | 20 | 4.87% | 9.74e-01

### Compare Noise f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2 | 0.23 | 0.1 | 129.70% | 1.30e-01
f[ANOISE_STD] | 0.2 | 0.0976 | 0.05 | 95.10% | 4.76e-02

### Compare Variance f[X]

Name | Initial | Fitted | True | Prop. Error | Abs. Error
--- | --- | --- | --- | --- | ---
f[CL_isv] | 0.01 | 0.14 | 0.2 | 30.23% | 6.05e-02