:orphan: 





.. _weibull_dosing_repeated_tut:



Repeated Weibull Dose with first order elimination.
###################################################

[Generated automatically as a Tutorial summary]

Model Description
*****************


:Name: weibull_dosing_repeated

:Title: Repeated Weibull Dose with first order elimination.

:Author: PoPy for PK/PD

:Abstract: 

| Repeated weibull dose into single compartment with first order elimination.

:Keywords: weibull; repeated; one compartment model

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

:Diagram: 


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


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.

Outputs
*******



Fitted f[X] values (after fitting)
==================================


(Model has no fixed effects)

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


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


Gen and Fit Summaries
=====================


* Gen: :ref:`weibull_dosing_repeated_gen` (gen)
* Fit: :ref:`weibull_dosing_repeated_fit` (fit)

Inputs
******



True f[X] values (for simulation)
=================================

(Model has no fixed effects)

Starting f[X] values (before fitting)
=====================================

(Model has no fixed effects)