# Depot One Comp PK with BLQ observations set to LLQ

[Generated automatically as a Fitting summary]

## Inputs

### Description

Name: | blq_pk_norm_fit
Title: | Depot One Comp PK with BLQ observations set to LLQ
Author: | J.R. Hartley
Abstract: |

Depot One Comp PK model, with BLQ (below level of quantification)
observations set to LLQ (lower limit of quantification).

Keywords: | tutorial; pk; advan4; dep_two_cmp; blq
Input Script: | `blq_pk_norm_fit.pyml`
Input Data: | `synthetic_data.csv`
Diagram: |

### Initial fixed effect estimates

    f[KA] = 1.0000
    f[CL] = 1.0000
    f[V1] = 20.0000
    f[KA_isv,CL_isv,V1_isv] = [
        [ 0.0500, 0.0100, 0.0100 ],
        [ 0.0100, 0.0500, 0.0100 ],
        [ 0.0100, 0.0100, 0.0500 ],
    ]
    f[PNOISE] = 0.1000
    f[ANOISE] = 0.0100

## Outputs

### Final objective value

    121987.0135

which required 1.30 iterations and took 339.47 seconds

### Final fitted fixed effects

    f[KA] = 2.6741
    f[CL] = 0.9560
    f[V1] = 86.0580
    f[KA_isv,CL_isv,V1_isv] = [
        [ 1.1328, -0.0132, 0.2360 ],
        [ -0.0132, 0.0002, -0.0028 ],
        [ 0.2360, -0.0028, 0.0504 ],
    ]
    f[PNOISE] = 0.2288
    f[ANOISE] = 0.0100

### 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] | 1.0000 | 2.6741 | 1.6741 | 1.6741
f[CL] | 1.0000 | 0.9560 | 0.0440 | 0.0440
f[V1] | 20.0000 | 86.0580 | 3.3029 | 66.0580

### Compare Noise f[X]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[PNOISE] | 0.1000 | 0.2288 | 1.2885 | 0.1288

### Compare Variance f[X]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA_isv] | 0.0500 | 1.1328 | 21.6551 | 1.0828
f[KA_isv;CL_isv] | 0.0100 | -0.0132 | 2.3154 | 0.0232
f[KA_isv;V1_isv] | 0.0100 | 0.2360 | 22.5972 | 0.2260
f[CL_isv;KA_isv] | 0.0100 | -0.0132 | 2.3154 | 0.0232
f[CL_isv] | 0.0500 | 0.0002 | 0.9968 | 0.0498
f[CL_isv;V1_isv] | 0.0100 | -0.0028 | 1.2760 | 0.0128
f[V1_isv;KA_isv] | 0.0100 | 0.2360 | 22.5972 | 0.2260
f[V1_isv;CL_isv] | 0.0100 | -0.0028 | 1.2760 | 0.0128
f[V1_isv] | 0.0500 | 0.0504 | 0.0087 | 0.0004