:orphan: 





.. _elim_ke_example_fit:



Elimination Example with KE parameter
#####################################

[Generated automatically as a Fitting summary]

Inputs
******



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

:Name: elim_ke_example

:Title: Elimination Example with KE parameter

:Author: Wright Dose Ltd

:Abstract: 

| Closed form solution for a one compartment model with IV dosing.

:Keywords: closed form solution; one compartment model; advan1

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

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

:Diagram: 


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


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

(Model has no fixed effects)

Outputs
*******



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

.. code-block:: pyml

    0.0000


which required 1. iterations and took 0.02 seconds

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

(Model has no fixed effects)

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


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

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

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

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

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



Plots
*****



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



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


Alternatively see :ref:`elim_ke_example_dense_sim_plots`

Comparison
**********



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




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




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


