:orphan: 





.. _gamma_dosing_tut:



Gamma Dose with no elimination.
###############################

[Generated automatically as a Tutorial summary]

Inputs
******



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

:Name: gamma_dosing

:Title: Gamma Dose with no elimination.

:Author: Wright Dose Ltd

:Abstract: 

| Gamma into single compartment. No elimination.

:Keywords: gamma; one compartment model

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

:Diagram: 


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


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

(Model has no fixed effects)

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

(Model has no fixed effects)

Outputs
*******



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

* Gen: :ref:`gamma_dosing_gen` (gen)
* Fit: :ref:`gamma_dosing_fit` (fit)

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

(Model has no fixed effects)

Plots
*****



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



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


Alternatively see :ref:`gamma_dosing_dense_comp_plots`

Comparison
**********



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


.. code-block:: pyml

    NAN



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


.. code-block:: pyml

    NAN



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


No Main f[X] values to compare.

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


No Noise f[X] values to compare.

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


No Variance f[X] values to compare.