# Depot One Comp PK with BLQ observations set to 0.5*LLQ

[Generated automatically as a Fitting summary]

## Inputs

### Description

Name: | blq_pk_norm_fit_half
Title: | Depot One Comp PK with BLQ observations set to 0.5*LLQ
Author: | J.R. Hartley
Abstract: |

Depot One Comp PK model, with BLQ (below level of quantification)
observations set to 0.5*LLQ (lower limit of quantification).

Keywords: | tutorial; pk; advan4; dep_two_cmp; blq
Input Script: | `blq_pk_norm_fit_half.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

    28174.8044

which required N. iterations and took 389.29 seconds

### Final fitted fixed effects

    f[KA] = 1.3657
    f[CL] = 1.6485
    f[V1] = 78.8853
    f[KA_isv,CL_isv,V1_isv] = [
        [ 0.1806, 0.0094, 0.0283 ],
        [ 0.0094, 0.0123, 0.0281 ],
        [ 0.0283, 0.0281, 0.0647 ],
    ]
    f[PNOISE] = 0.3372
    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] | 1.3657 | 1.0000 | 0.3657 | 0.3657
f[CL] | 1.6485 | 1.0000 | 0.6485 | 0.6485
f[V1] | 78.8853 | 20.0000 | 2.9443 | 58.8853

### Compare Noise f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[PNOISE] | 0.3372 | 0.1000 | 2.3722 | 0.2372

### Compare Variance f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA_isv] | 0.1806 | 0.0500 | 2.6125 | 0.1306
f[KA_isv;CL_isv] | 0.0094 | 0.0100 | 0.0581 | 0.0006
f[KA_isv;V1_isv] | 0.0283 | 0.0100 | 1.8318 | 0.0183
f[CL_isv;KA_isv] | 0.0094 | 0.0100 | 0.0581 | 0.0006
f[CL_isv] | 0.0123 | 0.0500 | 0.7542 | 0.0377
f[CL_isv;V1_isv] | 0.0281 | 0.0100 | 1.8137 | 0.0181
f[V1_isv;KA_isv] | 0.0283 | 0.0100 | 1.8318 | 0.0183
f[V1_isv;CL_isv] | 0.0281 | 0.0100 | 1.8137 | 0.0181
f[V1_isv] | 0.0647 | 0.0500 | 0.2941 | 0.0147