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Dear colleagues,

I am trying to use the following design, where I am trying to use bayesan priors with uniform distribution:


design
;alts = Visit, Saliva, opt-out
;rows = 36
;block = 3
;eff = (mnl,d)
;alg = swap(stop=noimprov(1 mins))
;cond:
if(Visit.V_place = 1, Visit.price = [170,120]),
if(Visit.V_place = 0, Visit.price = [40,30])
;model:
U(Visit) = asc_Visit[u,-4.292119,2.687867]
+ b1[u,-0.013844,0.05666] * V_specificity[95,98]
+ b2.dummy[u,0.061113,0.786695] * V_place[1,0] ?1=PrivateClinic, 0=PublicClinic
+ b3[u,-0.0072,-0.000822] * price[170,120,40,30] + b4*price*price
+ b5*V_specificity*V_place
+ b6*V_specificity*price

/
U(Saliva) = asc_Saliva[u,-1.122849,18.598029]
+ b7[0.0001] * S_specificity[98,99]
+ b8.dummy[u,0.007499,0.207217] * S_place[1,0] ?1=House, 0=Pharmacy
+ b9[u,-0.019851, -0.007321] * S_price[40,30,20] + b10*S_price*S_price + b11*S_specificity*S_place
+ b12*S_specificity*S_price
+ b13*S_place*S_price

$

My Ngene is getting an error saying this is "Not allowed under the current license: Designs for mixed logit".
May someone kindly explain me why? When I was using point priors I did not have any problem, does that mean that bayesan priors are necessarily mixed logit models?

Thank you so much,