# One Compartment Model with Absorption estimating KA and CL

[Generated automatically as a Fitting summary]

## Inputs

### Description

Name: | d1cmp_ka_cl_stderr
Title: | One Compartment Model with Absorption estimating KA and CL
Author: | Wright Dose Ltd
Abstract: |

One Compartment Model with Absorption compartment with rate (KA).
Elimination rate parametrised by clearance (CL)
and volume of distribution (V).
Model specification uses incremental flows

Keywords: | dep_one_cmp_cl; one compartment model
Input Script: | `d1cmp_ka_cl_stderr_fit.pyml`
Input Data: | `synthetic_data.csv`
Diagram: |

### Initial fixed effect estimates

    f[KA] = 0.3000
    f[V] = 18.0030
    f[CL] = 3.0000

## Outputs

### Final objective value

    -44.7678

which required 1.5 iterations and took 0.31 seconds

### Final fitted fixed effects

    f[KA] = 0.2739
    f[V] = 18.0030
    f[CL] = 3.2389

### 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]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA] | 0.3000 | 0.2739 | 0.0869 | 0.0261
f[CL] | 3.0000 | 3.2389 | 0.0796 | 0.2389

### Compare Noise f[X]

### Compare Variance f[X]