# 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

    28169.3064

which required 1.30 iterations and took 354.57 seconds

### Final fitted fixed effects

    f[KA] = 1.3656
    f[CL] = 1.6576
    f[V1] = 80.4195
    f[KA_isv,CL_isv,V1_isv] = [
        [ 0.7858, 0.0888, 0.2165 ],
        [ 0.0888, 0.0103, 0.0250 ],
        [ 0.2165, 0.0250, 0.0610 ],
    ]
    f[PNOISE] = 0.3307
    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 | 1.3656 | 0.3656 | 0.3656
f[CL] | 1.0000 | 1.6576 | 0.6576 | 0.6576
f[V1] | 20.0000 | 80.4195 | 3.0210 | 60.4195

### Compare Noise f[X]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[PNOISE] | 0.1000 | 0.3307 | 2.3067 | 0.2307

### Compare Variance f[X]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA_isv] | 0.0500 | 0.7858 | 14.7152 | 0.7358
f[KA_isv;CL_isv] | 0.0100 | 0.0888 | 7.8834 | 0.0788
f[KA_isv;V1_isv] | 0.0100 | 0.2165 | 20.6473 | 0.2065
f[CL_isv;KA_isv] | 0.0100 | 0.0888 | 7.8834 | 0.0788
f[CL_isv] | 0.0500 | 0.0103 | 0.7945 | 0.0397
f[CL_isv;V1_isv] | 0.0100 | 0.0250 | 1.4994 | 0.0150
f[V1_isv;KA_isv] | 0.0100 | 0.2165 | 20.6473 | 0.2065
f[V1_isv;CL_isv] | 0.0100 | 0.0250 | 1.4994 | 0.0150
f[V1_isv] | 0.0500 | 0.0610 | 0.2195 | 0.0110