:orphan: 





.. _dep_one_cmp_cl_isv_tut:



One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2
##############################################################################

[Generated automatically as a Tutorial summary]

Inputs
******



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

:Name: dep_one_cmp_cl_isv

:Title: One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2

:Author: Wright Dose Ltd

:Abstract: 

| Population one Compartment Model with Absorption and Inter-subject Variance

:Keywords: one compartment model; dep_one_cmp_cl

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

:Diagram: 

Failed to create compartment diagram

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

.. code-block:: pyml

    f[KA] = 0.3
    f[CL] = 3
    f[V] = 20
    f[PNOISE_STD] = 0.1
    f[ANOISE_STD] = 0.05
    f[CL_isv] = 0.2



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

.. code-block:: pyml

    f[KA] = 0.5
    f[CL] = 1
    f[V] = 15
    f[PNOISE_STD] = 0.2
    f[ANOISE_STD] = 0.2
    f[CL_isv] = 0.01



Outputs
*******



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

* Gen: :ref:`dep_one_cmp_cl_isv_gen` (gen)
* Fit: :ref:`dep_one_cmp_cl_isv_fit` (fit)

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

.. code-block:: pyml

    f[KA] = 1
    f[CL] = 2.4482
    f[V] = 21.931
    f[PNOISE_STD] = 0.23417
    f[ANOISE_STD] = 0.037484
    f[CL_isv] = 0.12828



Plots
*****



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



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


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


.. thumbnail:: images/comp_dense/000002.svg
    :width: 200px


Alternatively see :ref:`dep_one_cmp_cl_isv_dense_comp_plots`

Comparison
**********



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


.. code-block:: pyml

    -362.687685887



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


.. code-block:: pyml

    -311.993879624



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



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


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



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


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



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