:orphan: 





.. _dep_one_cmp_v_cl_stderr_tut:



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

[Generated automatically as a Tutorial 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.pyml <dep_one_cmp_v_cl_stderr.pyml>`

:Diagram: 


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


True f[X] values
================

.. code-block:: pyml

    f[KA] = 0.3000
    f[V] = 20.0000
    f[CL] = 3.0000



Starting f[X] values
====================

.. code-block:: pyml

    f[KA] = 0.2739
    f[V] = 20.0000
    f[CL] = 3.0000



Outputs
*******



Generating and Fitting Summaries
================================

* Gen: :ref:`dep_one_cmp_v_cl_stderr_gen` (gen)
* Fit: :ref:`dep_one_cmp_v_cl_stderr_fit` (fit)

Fitted f[X] values
==================

.. code-block:: pyml

    f[KA] = 0.2739
    f[V] = 18.0037
    f[CL] = 3.2389



Plots
*****



Dense comp plots
================



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


Alternatively see :ref:`dep_one_cmp_v_cl_stderr_dense_comp_plots`

Comparison
**********



True objective value
====================


.. code-block:: pyml

    -41.0152



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


.. code-block:: pyml

    -44.7678



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



.. csv-table:: 
    :file: fx_comp_main.csv
    :header-rows: 1


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


No Noise f[X] values to compare.

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


No Variance f[X] values to compare.