:orphan: 





.. _advan3trans6_pop_gen:



Nonmem ADVAN3 TRANS6 example
############################

[Generated automatically as a Generation summary]

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


:Name: advan3trans6_pop

:Title: Nonmem ADVAN3 TRANS6 example

:Author: PoPy for PK/PD

:Abstract: 

| ADVAN 3 TRANS6 problem. Central compartment with a peripheral compartment.
| trans 6 parameters:-
| * K21 is the rate from the peripheral to the central compartment
| * ALPHA
| * BETA
| map to advan3 parameters:-
| * K21 = K21
| * K12 = ALPHA+BETA-K21-K
| * KE = APLHA*BETA/K21
| ALPHA<K21<BETA. This must be true for model to work.

:Keywords: advan3; trans6; two compartment model

:Input Script: :download:`advan3trans6_pop_gen.pyml <advan3trans6_pop_gen.pyml>`

:Diagram: 


.. thumbnail:: advan3trans6_pop_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:`advan3trans6_pop_simulated_sim_plots`

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


(No population graphs were requested.)

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


:Fixed Effects: :download:`fx_params.csv (gen) <advan3trans6_pop_gen.pyml_output/fx_params.csv>`

:Random Effects: :download:`rx_params.csv (gen) <advan3trans6_pop_gen.pyml_output/rx_params.csv>`

:Model params: :download:`mx_params.csv (gen) <advan3trans6_pop_gen.pyml_output/mx_params.csv>`

:State values: :download:`sx_params.csv (gen) <advan3trans6_pop_gen.pyml_output/sx_params.csv>`

:Predictions: :download:`px_params.csv (gen) <advan3trans6_pop_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[ALPHA] = 0.2000
    f[DIFFALPHAK21] = 0.3000
    f[DIFFK21BETA] = 0.3000
    f[PNOISE] = 0.0100
    f[ANOISE] = 0.0100
    f[ALPHA_isv,DIFFALPHAK21_isv,DIFFK21BETA_isv] = [
        [ 0.1000, 0.0000, 0.0000 ],
        [ 0.0000, 0.0500, 0.0000 ],
        [ 0.0000, 0.0000, 0.0200 ],
    ]

