:orphan: 





.. _d1cmp_ka_v_stderr_fit:



One Compartment Model with Absorption estimating KA and V
#########################################################

[Generated automatically as a Fitting summary]

Inputs
******



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

:Name: d1cmp_ka_v_stderr

:Title: One Compartment Model with Absorption estimating KA and V

:Author: Wright Dose Ltd

:Abstract: 

| One Compartment Model with Absorption compartment with rate (KA).
| Elimination rate parametrised by clearance (CL)
| and volume of distribution (V).
| Model specification uses incremental flows

:Keywords: dep_one_cmp_cl; one compartment model

:Input Script: :download:`d1cmp_ka_v_stderr_fit.pyml <d1cmp_ka_v_stderr_fit.pyml>`

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

:Diagram: 


.. thumbnail:: d1cmp_ka_v_stderr_fit.pyml_output/fit/compartment_diagram.svg
    :width: 200px


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

.. code-block:: pyml

    f[KA] = 0.3000
    f[V] = 20.0000
    f[CL] = 3.2389



Outputs
*******



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

.. code-block:: pyml

    -44.7678


which required 1.7 iterations and took 0.48 seconds

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

.. code-block:: pyml

    f[KA] = 0.2738
    f[V] = 17.9968
    f[CL] = 3.2389



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


:Fixed Effects: :download:`fx_params.csv (fit) <d1cmp_ka_v_stderr_fit.pyml_output/fit/solN/fx_params.csv>`

:Random Effects: :download:`rx_params.csv (fit) <d1cmp_ka_v_stderr_fit.pyml_output/fit/solN/rx_params.csv>`

:Model params: :download:`mx_params.csv (fit) <d1cmp_ka_v_stderr_fit.pyml_output/fit/solN/mx_params.csv>`

:State values: :download:`sx_params.csv (fit) <d1cmp_ka_v_stderr_fit.pyml_output/fit/solN/sx_params.csv>`

:Predictions: :download:`px_params.csv (fit) <d1cmp_ka_v_stderr_fit.pyml_output/fit/solN/px_params.csv>`



Plots
*****



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



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


Alternatively see :ref:`d1cmp_ka_v_stderr_dense_sim_plots`

Comparison
**********



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


===============  ================  ==============  =============  ============
Variable Name      Starting Value    Fitted Value    Prop Change    Abs Change
===============  ================  ==============  =============  ============
f[KA]                      0.3000          0.2738         0.0873        0.0262
f[V]                      20.0000         17.9968         0.1002        2.0032
===============  ================  ==============  =============  ============

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




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


