:orphan: 





.. _inf_dur_dosing_repeated_tut:



Repeated Infusion Duration Dose with first order elimination.
#############################################################

[Generated automatically as a Tutorial summary]

Inputs
******



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

:Name: inf_dur_dosing_repeated

:Title: Repeated Infusion Duration Dose with first order elimination.

:Author: Wright Dose Ltd

:Abstract: 

| Repeated infusion duration dose into single compartment with first order elimination.

:Keywords: inf_dur; repeated; advan1; iv_one_cmp_cl; one compartment model

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

:Diagram: 


.. thumbnail:: compartment_diagram.pdf
    :width: 200px


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

(Model has no fixed effects)

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

(Model has no fixed effects)

Outputs
*******



Generated data .csv file
========================


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


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

* Gen: :ref:`inf_dur_dosing_repeated_gen` (gen)
* Fit: :ref:`inf_dur_dosing_repeated_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:`inf_dur_dosing_repeated_dense_comp_plots`

Comparison
**********



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


.. code-block:: pyml

    0.0000



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


.. code-block:: pyml

    0.0000



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.