# 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

    122016.6973

which required N. iterations and took 91.02 seconds

### Final fitted fixed effects

    f[KA] = 1.2697
    f[CL] = 0.9437
    f[V1] = 89.5814
    f[KA_isv,CL_isv,V1_isv] = [
        [ 0.1630, -0.0014, -0.0034 ],
        [ -0.0014, 0.0021, -0.0112 ],
        [ -0.0034, -0.0112, 0.0666 ],
    ]
    f[PNOISE] = 0.2321
    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 | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA] | 1.2697 | 1.0000 | 0.2697 | 0.2697
f[CL] | 0.9437 | 1.0000 | 0.0563 | 0.0563
f[V1] | 89.5814 | 20.0000 | 3.4791 | 69.5814

### Compare Noise f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[PNOISE] | 0.2321 | 0.1000 | 1.3205 | 0.1321

### Compare Variance f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA_isv] | 0.1630 | 0.0500 | 2.2609 | 0.1130
f[KA_isv;CL_isv] | -0.0014 | 0.0100 | 1.1411 | 0.0114
f[KA_isv;V1_isv] | -0.0034 | 0.0100 | 1.3385 | 0.0134
f[CL_isv;KA_isv] | -0.0014 | 0.0100 | 1.1411 | 0.0114
f[CL_isv] | 0.0021 | 0.0500 | 0.9582 | 0.0479
f[CL_isv;V1_isv] | -0.0112 | 0.0100 | 2.1168 | 0.0212
f[V1_isv;KA_isv] | -0.0034 | 0.0100 | 1.3385 | 0.0134
f[V1_isv;CL_isv] | -0.0112 | 0.0100 | 2.1168 | 0.0212
f[V1_isv] | 0.0666 | 0.0500 | 0.3318 | 0.0166