; this script is generated automatically

DESCRIPTION: 
Executable_PKPD.mlxtran

DATA: 
    path = "%MLXPROJECT%/",
    file  ="Simulated_PKPD.txt",
    headers = {ID,TIME,Y,EVID,MDV,AMT,YTYPE},
    columnDelimiter = "\t"

INDIVIDUAL: 
    C50 = {distribution=logNormal, iiv=yes},
    Cl = {distribution=logNormal, iiv=yes},
    V = {distribution=logNormal, iiv=yes},
    ka = {distribution=logNormal, iiv=no},
    kout = {distribution=logNormal, iiv=yes}

STRUCTURAL_MODEL: 
    file = "mlxt:pkpd_model",
    path = "%MLXPROJECT%",
    output = {Cc,E}


OBSERVATIONS: 
    y1 = {type=continuous, prediction=Cc, error=proportional},
    y2 = {type=continuous, prediction=E, error=constant}

TASKS: 
    ; settings
    globalSettings={
        withVariance=no,
        settingsAlgorithms="%MLXPROJECT%/Executable_PKPD_algorithms.xmlx",
        resultFolder="%MLXPROJECT%/Output_simulated_PKPD"},
    ; workflow
    estimatePopulationParameters(
        initialValues={
            pop_C50 = 0.3,
            pop_Cl = 40,
            pop_V = 100,
            pop_ka = 2,
            pop_kout = 2,
            b_y1 = 0.2,
            a_y2 = 0.2,
            omega_C50 = 0.7,
            omega_Cl = 0.7,
            omega_V = 0.7,
            omega_kout = 0.7
            } ),