choice-metrics.com

Thank you for the clarification.
Something about the choice situations is not right:

Design
Choice situation reg.costreg reg.timereg pav.costpav pav.timepav sav.costsav sav.timesav sav.passenger Block
1 7 48 9 42 5 48 5 1
2 13 36 15 42 11 48 0 4
3 13 30 9 24 5 48 0 3
4 13 48 15 24 11 48 0 2
5 7 ...

Thank you so much. Indeed it worked. However, I got a huge s estimate and B estimate.
Here are my output parameters:
D error 0.093845
A error 1.001498
B estimate 99.999879
S estimate 11913661.610246

Here is the final syntax I used. Is it the use of too many bayeasian priors?


Design
;alts=REG ...

Thank you so much. It helped a lot.
So I tried running my entire code:

Design
;alts=REG,PAV,SAV
;rows=24
;block =4
;alg = mfederov
;rdraws = Halton(2000)
;eff=(mnl,d)
;cond:

if(SAV.costsav = 11.00, PAV.costpav = [12.00,15.00],

if(REG.timereg = 30.00, PAV.timepav=[24.00,30.00]






;model:


U ...

Dear Michiel.
This helps so much. Thank you!
One more question.
Say I want one of my levels to appear in 50% of scenarios ("Justyou"). Is there a way to do that?
Thank you again

Dear board members
I am new to Ngene so any help will be highly appreciated.
I am trying to generate a Bayesian de-efficient design for a mode choice task between three alternatives. I have no priors.
I have three attributes-
time, which has 4 levels,
cost, 3 levels
and passengers, which has six ...