:orphan: 





.. _pa_gen_pa_fit_gen:



Model containing both proportional and additive error
#####################################################

[Generated automatically as a Generation summary]

Inputs
******



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

:Name: pa_gen_pa_fit

:Title: Model containing both proportional and additive error

:Author: Wright Dose Ltd

:Abstract: 

| One compartment model with a depot leading to a central compartment.
| This model contains both proportional and additive error.

:Keywords: one compartment model; one_two_cmp_cl; proportional and additive error

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

:Diagram: 


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


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

.. code-block:: pyml

    f[PNOISE_STD] = 0.1000
    f[ANOISE_STD] = 0.0500



Outputs
*******



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


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

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

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

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

:Predictions: :download:`px_params.csv (gen) <pa_gen_pa_fit_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/000001.svg
    :width: 200px


Alternatively see :ref:`pa_gen_pa_fit_dense_sim_plots`