:orphan: 





.. _d1cmp_v_cl_stderr_gen:



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

[Generated automatically as a Generation summary]

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


:Name: d1cmp_v_cl_stderr

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

:Author: PoPy for PK/PD

: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_v_cl_stderr_gen.pyml <d1cmp_v_cl_stderr_gen.pyml>`

:Diagram: 


.. thumbnail:: d1cmp_v_cl_stderr_gen.pyml_output/compartment_diagram.svg
    :width: 200px


Outputs
*******



Population simulated (sim) plots
================================


.. list-table:: 
    :width: 90%

    * - .. thumbnail:: images/gen_sim_grph_outputs/indOBS_vs_TIME/000001.svg
            :width: 200px
      - indOBS_vs_TIME

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


:Fixed Effects: :download:`fx_params.csv (gen) <d1cmp_v_cl_stderr_gen.pyml_output/fx_params.csv>`

:Random Effects: :download:`rx_params.csv (gen) <d1cmp_v_cl_stderr_gen.pyml_output/rx_params.csv>`

:Model params: :download:`mx_params.csv (gen) <d1cmp_v_cl_stderr_gen.pyml_output/mx_params.csv>`

:State values: :download:`sx_params.csv (gen) <d1cmp_v_cl_stderr_gen.pyml_output/sx_params.csv>`

:Predictions: :download:`px_params.csv (gen) <d1cmp_v_cl_stderr_gen.pyml_output/px_params.csv>`


:Observations: :download:`synthetic_data.csv (gen) <synthetic_data.csv>`


Inputs
******



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


.. code-block:: pyml

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

