:orphan: 





.. _biolag_abs_base_fit:



Bioavailability and Lag
#######################

[Generated automatically as a Fitting summary]

Inputs
******



Description
===========

:Name: biolag_abs_base

:Title: Bioavailability and Lag

:Author: Wright Dose Ltd

:Abstract: 

| One compartment model absorption dosing with bioavailability and lag parameters.

:Keywords: identifiability; bioavailability; lag; dep_one_cmp_cl

:Input Script: :download:`biolag_abs_base_fit.pyml <biolag_abs_base_fit.pyml>`

:Input Data: :download:`synthetic_data.csv <synthetic_data.csv>`

:Diagram: 


.. thumbnail:: biolag_abs_base_fit.pyml_output/fit/compartment_diagram.svg
    :width: 200px


Initial fixed effect estimates
==============================

.. code-block:: pyml

    f[KA] = 0.5000
    f[CL] = 1.0000
    f[V] = 15.0000
    f[ANOISE_STD] = 5.0000
    f[BIO] = 0.5000
    f[LAG] = 1.0000



Outputs
*******



Final objective value
=====================

.. code-block:: pyml

    38.8669


which required 1.25 iterations and took 9.75 seconds

Final fitted fixed effects
==========================

.. code-block:: pyml

    f[KA] = 1.0000
    f[CL] = 2.2001
    f[V] = 11.3950
    f[ANOISE_STD] = 0.8946
    f[BIO] = 0.4003
    f[LAG] = 8.7958



Fitted parameter .csv files
===========================


:Fixed Effects: :download:`fx_params.csv (fit) <biolag_abs_base_fit.pyml_output/fit/solN/fx_params.csv>`

:Random Effects: :download:`rx_params.csv (fit) <biolag_abs_base_fit.pyml_output/fit/solN/rx_params.csv>`

:Model params: :download:`mx_params.csv (fit) <biolag_abs_base_fit.pyml_output/fit/solN/mx_params.csv>`

:State values: :download:`sx_params.csv (fit) <biolag_abs_base_fit.pyml_output/fit/solN/sx_params.csv>`

:Predictions: :download:`px_params.csv (fit) <biolag_abs_base_fit.pyml_output/fit/solN/px_params.csv>`



Plots
*****



Dense sim plots
===============



.. thumbnail:: images/fit_dense/000001.svg
    :width: 200px


Alternatively see :ref:`biolag_abs_base_dense_sim_plots`

Comparison
**********



Compare Main f[X]
=================


===============  ================  ==============  =============  ============
Variable Name      Starting Value    Fitted Value    Prop Change    Abs Change
===============  ================  ==============  =============  ============
f[KA]                      0.5000          1.0000         1.0000        0.5000
f[CL]                      1.0000          2.2001         1.2001        1.2001
f[V]                      15.0000         11.3950         0.2403        3.6050
f[BIO]                     0.5000          0.4003         0.1994        0.0997
f[LAG]                     1.0000          8.7958         7.7958        7.7958
===============  ================  ==============  =============  ============

Compare Noise f[X]
==================


===============  ================  ==============  =============  ============
Variable Name      Starting Value    Fitted Value    Prop Change    Abs Change
===============  ================  ==============  =============  ============
f[ANOISE_STD]              5.0000          0.8946         0.8211        4.1054
===============  ================  ==============  =============  ============

Compare Variance f[X]
=====================


