:orphan: 





.. _d1cmp_ka_cl_stderr_gen:



One Compartment Model with Absorption estimating KA and CL
##########################################################

[Generated automatically as a Generation summary]

Inputs
******



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

:Name: d1cmp_ka_cl_stderr

:Title: One Compartment Model with Absorption estimating KA and CL

:Author: Wright Dose Ltd

:Abstract: 

| One Compartment Model with Absorption compartment with rate (KA).
| Elimination rate parametrised by clearance (CL)
| and volume of distribution (V).
| Model specification uses incremental flows

:Keywords: dep_one_cmp_cl; one compartment model

:Input Script: :download:`d1cmp_ka_cl_stderr_gen.pyml <d1cmp_ka_cl_stderr_gen.pyml>`

:Diagram: 


.. thumbnail:: d1cmp_ka_cl_stderr_gen.pyml_output/gen/compartment_diagram.svg
    :width: 200px


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

.. code-block:: pyml

    f[KA] = 0.3000
    f[V] = 20.0000
    f[CL] = 3.0000



Outputs
*******



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


:Fixed Effects: :download:`fx_params.csv (gen) <d1cmp_ka_cl_stderr_gen.pyml_output/gen/fx_params.csv>`

:Random Effects: :download:`rx_params.csv (gen) <d1cmp_ka_cl_stderr_gen.pyml_output/gen/rx_params.csv>`

:Model params: :download:`mx_params.csv (gen) <d1cmp_ka_cl_stderr_gen.pyml_output/gen/mx_params.csv>`

:State values: :download:`sx_params.csv (gen) <d1cmp_ka_cl_stderr_gen.pyml_output/gen/sx_params.csv>`

:Predictions: :download:`px_params.csv (gen) <d1cmp_ka_cl_stderr_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:`d1cmp_ka_cl_stderr_dense_sim_plots`