# 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

    122017.4388

which required N. iterations and took 117.20 seconds

### Final fitted fixed effects

    f[KA] = 1.2963
    f[CL] = 0.9544
    f[V1] = 88.6066
    f[KA_isv,CL_isv,V1_isv] = [
        [ 0.1648, -0.0018, -0.0048 ],
        [ -0.0018, 0.0021, -0.0113 ],
        [ -0.0048, -0.0113, 0.0643 ],
    ]
    f[PNOISE] = 0.2379
    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] | 1.2963 | 1.0000 | 0.2963 | 0.2963
f[CL] | 0.9544 | 1.0000 | 0.0456 | 0.0456
f[V1] | 88.6066 | 20.0000 | 3.4303 | 68.6066

### Compare Noise f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[PNOISE] | 0.2379 | 0.1000 | 1.3786 | 0.1379

### Compare Variance f[X]

Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change
--- | --- | --- | --- | ---
f[KA_isv] | 0.1648 | 0.0500 | 2.2958 | 0.1148
f[KA_isv;CL_isv] | -0.0018 | 0.0100 | 1.1806 | 0.0118
f[KA_isv;V1_isv] | -0.0048 | 0.0100 | 1.4793 | 0.0148
f[CL_isv;KA_isv] | -0.0018 | 0.0100 | 1.1806 | 0.0118
f[CL_isv] | 0.0021 | 0.0500 | 0.9576 | 0.0479
f[CL_isv;V1_isv] | -0.0113 | 0.0100 | 2.1305 | 0.0213
f[V1_isv;KA_isv] | -0.0048 | 0.0100 | 1.4793 | 0.0148
f[V1_isv;CL_isv] | -0.0113 | 0.0100 | 2.1305 | 0.0213
f[V1_isv] | 0.0643 | 0.0500 | 0.2856 | 0.0143