:orphan: 





.. _iv_two_cmp_cl_isv_gen:



Population Two Compartment Model and Inter-subject Variance
###########################################################

[Generated automatically as a Generation summary]

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


:Name: iv_two_cmp_cl_isv

:Title: Population Two Compartment Model and Inter-subject Variance

:Author: PoPy for PK/PD

:Abstract: 

| Population One Compartment Model and Inter-subject Variance

:Keywords: two compartment model; iv_two_cmp_cl; proportional noise; additive noise

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

:Diagram: 


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


Outputs
*******



Individual simulated (sim) plots
================================



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


.. thumbnail:: images/gen_sim_grph_outputs/indOBS_vs_TIME/000002.svg
    :width: 200px


.. thumbnail:: images/gen_sim_grph_outputs/indOBS_vs_TIME/000003.svg
    :width: 200px


Alternatively see :ref:`iv_two_cmp_cl_isv_simulated_sim_plots`

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


(No population graphs were requested.)

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


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

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

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

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

:Predictions: :download:`px_params.csv (gen) <iv_two_cmp_cl_isv_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[CL] = 2.0000
    f[V1] = 10.0000
    f[Q] = 1.2000
    f[V2] = 20.0000
    f[PNOISE] = 0.0100
    f[ANOISE] = 0.0100
    f[CL_isv,V1_isv,Q_isv,V2_isv] = [
        [ 0.1000, 0.0000, 0.0000, 0.0000 ],
        [ 0.0000, 0.2000, 0.0000, 0.0000 ],
        [ 0.0000, 0.0000, 0.1000, 0.0000 ],
        [ 0.0000, 0.0000, 0.0000, 0.5000 ],
    ]

