:orphan: 





.. _dep_one_cmp_v_cl_stderr_fit:



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

[Generated automatically as a Fitting summary]

Inputs
******



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

:Name: dep_one_cmp_v_cl_stderr

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

: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:`dep_one_cmp_v_cl_stderr_fit.pyml <dep_one_cmp_v_cl_stderr_fit.pyml>`

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

:Diagram: 


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


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

.. code-block:: pyml

    f[KA] = 0.27394
    f[V] = 20
    f[CL] = 3



Outputs
*******



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

.. code-block:: pyml

    -44.76777179


which required 5 iterations and took 0.14 seconds

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

.. code-block:: pyml

    f[KA] = 0.27394
    f[V] = 18.004
    f[CL] = 3.2389



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


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

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

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

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

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



Plots
*****



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



.. thumbnail:: images/fit_dense/000000.svg
    :width: 200px


Alternatively see :ref:`dep_one_cmp_v_cl_stderr_dense_sim_plots`

Comparison
**********



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


===============  ==============  ================  =============  ============
Variable Name      Fitted Value    Starting Value    Prop Change    Abs Change
===============  ==============  ================  =============  ============
f[V]                   18.0037                 20      0.0998151      1.9963
f[CL]                   3.23888                 3      0.0796272      0.238882
===============  ==============  ================  =============  ============

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




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


