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

[Generated automatically as a Fitting summary]

## Inputs

### Description

Name: | dep_one_cmp_cl_iov_05
Title: | One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5
Author: | Wright Dose Ltd
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: | `dep_one_cmp_cl_iov_05_fit.pyml`
Input Data: | `synthetic_data.csv`
Diagram: |

### Initial fixed effect estimates

    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

## Outputs

### Final objective value

    -276.6985

which required N. iterations and took 256.08 seconds

### Final fitted fixed effects

    f[KA] = 1.0000
    f[CL] = 1.9217
    f[V] = 20.2630
    f[PNOISE_STD] = 0.2081
    f[ANOISE_STD] = 0.0480
    f[CL_isv] = 0.2662
    f[CL_iov] = 0.0084

### 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] | 1.0000 | 0.5000 | 1.0000 | 0.5000
f[CL] | 1.9217 | 1.0000 | 0.9217 | 0.9217
f[V] | 20.2630 | 15.0000 | 0.3509 | 5.2630

### Compare Noise f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[PNOISE_STD] | 0.2081 | 0.2000 | 0.0405 | 0.0081
f[ANOISE_STD] | 0.0480 | 0.2000 | 0.7599 | 0.1520

### Compare Variance f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[CL_isv] | 0.2662 | 0.0100 | 25.6151 | 0.2562
f[CL_iov] | 0.0084 | 0.0100 | 0.1550 | 0.0016