# 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] = 0.5
    f[CL] = 1
    f[V] = 15
    f[PNOISE_STD] = 0.2
    f[ANOISE_STD] = 0.2
    f[CL_isv] = 0.01
    f[CL_iov] = 0.01

## Outputs

### Final objective value

    -276.596757751

which required 24 iterations and took 130.74 seconds

### Final fitted fixed effects

    f[KA] = 1
    f[CL] = 1.8513
    f[V] = 20.269
    f[PNOISE_STD] = 0.21367
    f[ANOISE_STD] = 0.047704
    f[CL_isv] = 0.26995
    f[CL_iov] = 0.0085567

### 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 | 0.5 | 1 | 0.5
f[CL] | 1.85134 | 1 | 0.851343 | 0.851343
f[V] | 20.2693 | 15 | 0.351284 | 5.26926

### Compare Noise f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[PNOISE_STD] | 0.213669 | 0.2 | 0.0683461 | 0.0136692
f[ANOISE_STD] | 0.0477045 | 0.2 | 0.761478 | 0.152296

### Compare Variance f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[CL_isv] | 0.269953 | 0.01 | 25.9953 | 0.259953
f[CL_iov] | 0.00855672 | 0.01 | 0.144328 | 0.00144328