:orphan: 





.. _dep_one_cmp_cl_fit:



One Compartment Model with Absorption
#####################################

[Generated automatically as a Fitting summary]

Inputs
******



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

:Name: dep_one_cmp_cl

:Title: One Compartment Model with Absorption

:Author: Wright Dose Ltd

:Abstract: 

| One Compartment Model with Absorption
| Elimination rate parametrised by clearance (CL)
| and volume of distribution (V).

:Keywords: one compartment model; dep_one_cmp_cl; advan2; trans2

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

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

:Diagram: 


.. thumbnail:: dep_one_cmp_cl_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

    NAN


which required 3 iterations and took 0.07 seconds

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

(Model has no fixed effects)

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


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

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

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

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

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



Plots
*****



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



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


Alternatively see :ref:`dep_one_cmp_cl_dense_sim_plots`

Comparison
**********



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




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




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


