# One Compartment Model with Absorption estimating KA, CL and V

[Generated automatically as a Fitting summary]

## Inputs

### Description

Name: | dep_one_cmp_ka_v_cl_stderr
Title: | One Compartment Model with Absorption estimating KA, CL and V
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: | `dep_one_cmp_ka_v_cl_stderr_fit.pyml`
Input Data: | `synthetic_data.csv`
Diagram: |

### Initial fixed effect estimates

    f[KA] = 0.3
    f[V] = 20
    f[CL] = 3

## Outputs

### Final objective value

    -44.7677718823

which required 5 iterations and took 0.14 seconds

### Final fitted fixed effects

    f[KA] = 0.27392
    f[V] = 18.003
    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 | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA] | 0.273923 | 0.3 | 0.0869238 | 0.0260771
f[V] | 18.0027 | 20 | 0.099866 | 1.99732
f[CL] | 3.2389 | 3 | 0.0796349 | 0.238905

### Compare Noise f[X]

### Compare Variance f[X]