# 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

    28168.9208

which required 1.30 iterations and took 305.57 seconds

### Final fitted fixed effects

    f[KA] = 0.6179
    f[CL] = 1.6995
    f[V1] = 83.1400
    f[KA_isv,CL_isv,V1_isv] = [
        [ 0.0000, 0.0007, 0.0017 ],
        [ 0.0007, 0.0110, 0.0270 ],
        [ 0.0017, 0.0270, 0.0663 ],
    ]
    f[PNOISE] = 0.3362
    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 | 0.6179 | 0.3821 | 0.3821
f[CL] | 1.0000 | 1.6995 | 0.6995 | 0.6995
f[V1] | 20.0000 | 83.1400 | 3.1570 | 63.1400

### Compare Noise f[X]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[PNOISE] | 0.1000 | 0.3362 | 2.3615 | 0.2362

### Compare Variance f[X]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA_isv] | 0.0500 | 0.0000 | 0.9991 | 0.0500
f[KA_isv;CL_isv] | 0.0100 | 0.0007 | 0.9314 | 0.0093
f[KA_isv;V1_isv] | 0.0100 | 0.0017 | 0.8315 | 0.0083
f[CL_isv;KA_isv] | 0.0100 | 0.0007 | 0.9314 | 0.0093
f[CL_isv] | 0.0500 | 0.0110 | 0.7802 | 0.0390
f[CL_isv;V1_isv] | 0.0100 | 0.0270 | 1.6987 | 0.0170
f[V1_isv;KA_isv] | 0.0100 | 0.0017 | 0.8315 | 0.0083
f[V1_isv;CL_isv] | 0.0100 | 0.0270 | 1.6987 | 0.0170
f[V1_isv] | 0.0500 | 0.0663 | 0.3259 | 0.0163