# This file has automatically been generated
# biogeme 2.6a [Mon Apr 24 10:21:29 BST 2017]
# <a href='http://people.epfl.ch/michel.bierlaire'>Michel Bierlaire</a>, <a href='http://transp-or.epfl.ch'>Transport and Mobility Laboratory</a>, <a href='http://www.epfl.ch'>Ecole Polytechnique F&eacute;d&eacute;rale de Lausanne (EPFL)</a>
# Fri Nov 17 15:54:45 2017</p>
#
ASC_CAR = Beta('ASC_CAR',3.34731,-10,10,0,'ASC_CAR' )

BETA_TIME_CAR = Beta('BETA_TIME_CAR',-2.27071,-10,10,0,'BETA_TIME_CAR' )

BETA_COST_AGE1 = Beta('BETA_COST_AGE1',-0.105702,-10,10,0,'BETA_COST_AGE1' )

BETA_COST_AGE2 = Beta('BETA_COST_AGE2',-0.156498,-10,10,0,'BETA_COST_AGE2' )

BETA_TIME_RAIL = Beta('BETA_TIME_RAIL',-0.510705,-10,10,0,'BETA_TIME_RAIL' )

BETA_FEMALE = Beta('BETA_FEMALE',0.81881,-10,10,0,'BETA_FEMALE' )

BETA_FIXED_ARRIVAL_TIME = Beta('BETA_FIXED_ARRIVAL_TIME',0.920434,-10,10,0,'BETA_FIXED_ARRIVAL_TIME' )


## Code for the sensitivity analysis
names = ['ASC_CAR','BETA_COST_AGE1','BETA_COST_AGE2','BETA_FEMALE','BETA_FIXED_ARRIVAL_TIME','BETA_TIME_CAR','BETA_TIME_RAIL']
values = [[1.18847,-0.00030321,-0.00435828,0.076407,0.057314,-0.285026,0.278099],[-0.00030321,0.000822983,0.000499884,-0.00200746,0.000642409,0.0028695,-0.000160823],[-0.00435828,0.000499884,0.0014024,-0.00225069,0.00203369,0.00379669,-0.00162607],[0.076407,-0.00200746,-0.00225069,0.119527,0.0168501,-0.0326149,-0.0159048],[0.057314,0.000642409,0.00203369,0.0168501,0.111183,-0.00849412,-0.0143626],[-0.285026,0.0028695,0.00379669,-0.0326149,-0.00849412,0.2478,0.0737138],[0.278099,-0.000160823,-0.00162607,-0.0159048,-0.0143626,0.0737138,0.202137]]
vc = bioMatrix(7,names,values)
BIOGEME_OBJECT.VARCOVAR = vc

13573c24f83f4fc69860545ed1c0331d54f3c1a3
<mask token>

ASC_CAR = Beta('ASC_CAR', 3.34731, -10, 10, 0, 'ASC_CAR')
BETA_TIME_CAR = Beta('BETA_TIME_CAR', -2.27071, -10, 10, 0, 'BETA_TIME_CAR')
BETA_COST_AGE1 = Beta('BETA_COST_AGE1', -0.105702, -10, 10, 0, 'BETA_COST_AGE1'
    )
BETA_COST_AGE2 = Beta('BETA_COST_AGE2', -0.156498, -10, 10, 0, 'BETA_COST_AGE2'
    )
BETA_TIME_RAIL = Beta('BETA_TIME_RAIL', -0.510705, -10, 10, 0, 'BETA_TIME_RAIL'
    )
BETA_FEMALE = Beta('BETA_FEMALE', 0.81881, -10, 10, 0, 'BETA_FEMALE')
BETA_FIXED_ARRIVAL_TIME = Beta('BETA_FIXED_ARRIVAL_TIME', 0.920434, -10, 10,
    0, 'BETA_FIXED_ARRIVAL_TIME')
names = ['ASC_CAR', 'BETA_COST_AGE1', 'BETA_COST_AGE2', 'BETA_FEMALE',
    'BETA_FIXED_ARRIVAL_TIME', 'BETA_TIME_CAR', 'BETA_TIME_RAIL']
values = [[1.18847, -0.00030321, -0.00435828, 0.076407, 0.057314, -0.285026,
    0.278099], [-0.00030321, 0.000822983, 0.000499884, -0.00200746, 
    0.000642409, 0.0028695, -0.000160823], [-0.00435828, 0.000499884, 
    0.0014024, -0.00225069, 0.00203369, 0.00379669, -0.00162607], [0.076407,
    -0.00200746, -0.00225069, 0.119527, 0.0168501, -0.0326149, -0.0159048],
    [0.057314, 0.000642409, 0.00203369, 0.0168501, 0.111183, -0.00849412, -
    0.0143626], [-0.285026, 0.0028695, 0.00379669, -0.0326149, -0.00849412,
    0.2478, 0.0737138], [0.278099, -0.000160823, -0.00162607, -0.0159048, -
    0.0143626, 0.0737138, 0.202137]]
vc = bioMatrix(7, names, values)
BIOGEME_OBJECT.VARCOVAR = vc

# This file has automatically been generated
# biogeme 2.6a [Mon Apr 24 10:21:29 BST 2017]
# <a href='http://people.epfl.ch/michel.bierlaire'>Michel Bierlaire</a>, <a href='http://transp-or.epfl.ch'>Transport and Mobility Laboratory</a>, <a href='http://www.epfl.ch'>Ecole Polytechnique F&eacute;d&eacute;rale de Lausanne (EPFL)</a>
# Fri Nov 17 15:54:45 2017</p>
#
ASC_CAR = Beta('ASC_CAR',3.34731,-10,10,0,'ASC_CAR' )

BETA_TIME_CAR = Beta('BETA_TIME_CAR',-2.27071,-10,10,0,'BETA_TIME_CAR' )

BETA_COST_AGE1 = Beta('BETA_COST_AGE1',-0.105702,-10,10,0,'BETA_COST_AGE1' )

BETA_COST_AGE2 = Beta('BETA_COST_AGE2',-0.156498,-10,10,0,'BETA_COST_AGE2' )

BETA_TIME_RAIL = Beta('BETA_TIME_RAIL',-0.510705,-10,10,0,'BETA_TIME_RAIL' )

BETA_FEMALE = Beta('BETA_FEMALE',0.81881,-10,10,0,'BETA_FEMALE' )

BETA_FIXED_ARRIVAL_TIME = Beta('BETA_FIXED_ARRIVAL_TIME',0.920434,-10,10,0,'BETA_FIXED_ARRIVAL_TIME' )


## Code for the sensitivity analysis
names = ['ASC_CAR','BETA_COST_AGE1','BETA_COST_AGE2','BETA_FEMALE','BETA_FIXED_ARRIVAL_TIME','BETA_TIME_CAR','BETA_TIME_RAIL']
values = [[1.18847,-0.00030321,-0.00435828,0.076407,0.057314,-0.285026,0.278099],[-0.00030321,0.000822983,0.000499884,-0.00200746,0.000642409,0.0028695,-0.000160823],[-0.00435828,0.000499884,0.0014024,-0.00225069,0.00203369,0.00379669,-0.00162607],[0.076407,-0.00200746,-0.00225069,0.119527,0.0168501,-0.0326149,-0.0159048],[0.057314,0.000642409,0.00203369,0.0168501,0.111183,-0.00849412,-0.0143626],[-0.285026,0.0028695,0.00379669,-0.0326149,-0.00849412,0.2478,0.0737138],[0.278099,-0.000160823,-0.00162607,-0.0159048,-0.0143626,0.0737138,0.202137]]
vc = bioMatrix(7,names,values)
BIOGEME_OBJECT.VARCOVAR = vc
