:orphan: 





.. _elim_ke_example_fit:



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

[Generated automatically as a Fitting summary]

Model Description
*****************


:Name: elim_ke_example

:Title: Elimination Example with KE parameter

:Author: PoPy for PK/PD

: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>`

:Diagram: 


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


Comparison
**********



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




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




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




Population simulated (sim) plots
================================


.. list-table:: 
    :width: 90%

    * - .. thumbnail:: images/fit_sim_grph_outputs/indOBS_vs_TIME/000001.svg
            :width: 200px
      - indOBS_vs_TIME

Outputs
*******



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

.. code-block:: pyml

    0.0000


which required 1. iterations and took 7.78 seconds

Fitted f[X] values (after fitting)
==================================


(Model has no fixed effects)

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


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

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

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

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

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

:Likelihoods: :download:`lx_params.csv (fit) <elim_ke_example_fit.pyml_output/solN/lx_params.csv>`



Inputs
******


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


Starting f[X] values (before fitting)
=====================================


(Model has no fixed effects)