:orphan: 





.. _circ_sin_gen:



Sine circadian model
####################

[Generated automatically as a Generation summary]

Inputs
******



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

:Name: circ_sin

:Title: Sine circadian model

:Author: Wright Dose Ltd

:Abstract: 

| A PD Model based on the amount of drug in the body.
| The PD model uses a sine function which simulates a circadian rhythm for the generation of a biomarker.
| The amount in the central compartment is determined by CL and V, PK patameters , which have been previosly estimated for each individual.
| The amount in the central compartment influences the rate of production of a biomarker.

:Keywords: PD; Pharmacodynamics; sine function; Circadian rhythm

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

:Diagram: 


.. thumbnail:: circ_sin_gen.pyml_output/gen/compartment_diagram.svg
    :width: 200px


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

.. code-block:: pyml

    f[AMP] = 2
    f[INT] = 8
    f[KOUT] = 0.05
    f[ANOISE] = 3



Outputs
*******



Generated parameter .csv files
==============================


:Fixed Effects: :download:`fx_params.csv (gen) <circ_sin_gen.pyml_output/gen/fx_params.csv>`

:Random Effects: :download:`rx_params.csv (gen) <circ_sin_gen.pyml_output/gen/rx_params.csv>`

:Model params: :download:`mx_params.csv (gen) <circ_sin_gen.pyml_output/gen/mx_params.csv>`

:State values: :download:`sx_params.csv (gen) <circ_sin_gen.pyml_output/gen/sx_params.csv>`

:Predictions: :download:`px_params.csv (gen) <circ_sin_gen.pyml_output/gen/px_params.csv>`


:Synthetic Data: :download:`synthetic_data.csv (gen) <synthetic_data.csv>`


Plots
*****



Dense sim plots
===============



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


Alternatively see :ref:`circ_sin_dense_sim_plots`