# 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

    28170.1961

which required 1.30 iterations and took 442.08 seconds

### Final fitted fixed effects

    f[KA] = 1.9123
    f[CL] = 1.6514
    f[V1] = 80.2922
    f[KA_isv,CL_isv,V1_isv] = [
        [ 1.0636, 0.1018, 0.2494 ],
        [ 0.1018, 0.0100, 0.0243 ],
        [ 0.2494, 0.0243, 0.0596 ],
    ]
    f[PNOISE] = 0.3314
    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 | 1.9123 | 0.9123 | 0.9123
f[CL] | 1.0000 | 1.6514 | 0.6514 | 0.6514
f[V1] | 20.0000 | 80.2922 | 3.0146 | 60.2922

### Compare Noise f[X]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[PNOISE] | 0.1000 | 0.3314 | 2.3136 | 0.2314

### Compare Variance f[X]

Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA_isv] | 0.0500 | 1.0636 | 20.2721 | 1.0136
f[KA_isv;CL_isv] | 0.0100 | 0.1018 | 9.1839 | 0.0918
f[KA_isv;V1_isv] | 0.0100 | 0.2494 | 23.9384 | 0.2394
f[CL_isv;KA_isv] | 0.0100 | 0.1018 | 9.1839 | 0.0918
f[CL_isv] | 0.0500 | 0.0100 | 0.8008 | 0.0400
f[CL_isv;V1_isv] | 0.0100 | 0.0243 | 1.4317 | 0.0143
f[V1_isv;KA_isv] | 0.0100 | 0.2494 | 23.9384 | 0.2394
f[V1_isv;CL_isv] | 0.0100 | 0.0243 | 1.4317 | 0.0143
f[V1_isv] | 0.0500 | 0.0596 | 0.1921 | 0.0096