# Model containing additive error only and additive error only input data

[Generated automatically as a Fitting summary]

## Inputs

### Description

Name: | ao_gen_ao_fit
Title: | Model containing additive error only and additive error only input data
Author: | Wright Dose Ltd
Abstract: |

One compartment model with a depot leading to a central compartment.
This model contains additive error only and the synthetic input data contains additive error only.

Keywords: | one compartment model; dep_one_cmp_cl; additive error
Input Script: | `ao_gen_ao_fit_fit.pyml`
Input Data: | `synthetic_data.csv`
Diagram: |

### Initial fixed effect estimates

    f[ANOISE_STD] = 0.2500

## Outputs

### Final objective value

    -514.1953

which required 1.7 iterations and took 0.43 seconds

### Final fitted fixed effects

    f[ANOISE_STD] = 0.0464

### Fitted parameter .csv files

Fixed Effects: | `fx_params.csv (fit)`
Random Effects: | `rx_params.csv (fit)`
Model params: | `mx_params.csv (fit)`
State values: | `sx_params.csv (fit)`
Predictions: | `px_params.csv (fit)`

## Plots

### Dense sim plots

Alternatively see All dense_sim graph plots

## Comparison

### Compare Main f[X]

### Compare Noise f[X]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[ANOISE_STD] | 0.2500 | 0.0464 | 0.8145 | 0.2036

### Compare Variance f[X]