Dear Ngene community,
a colleague and I are trying to generate an experimental design to analyse the acceptance of large solar projects. We have three categorial (G, M, Z), one ordinal (U) and two continuous (Entf., Zahl) attributes. We only make informed guesses for the signs with our priors.
This is our code currently:
design
;alts = alt1, alt2, alt3;
;rows = 18;
;block = 3;
;eff = (mnl,d);
;alg = swap(stop = total(10mins));
;cond:
if(alt1.Z=0, alt1.G=0),
;model:
U(alt1)= b1.dummy[0,0001|0,00001|0,00001]*G[1,2,3,0] + b2.dummy[0,00001|-0,0001|0,0001]*M[1,2,3,0]+b3.dummy[0,00001|0,00001]*U[1,2,0]+b4.dummy[0,00001|0,00001|0,00001]*Z[1,2,3,0]+ b5.[0,00001]*Entf[100,500,1000]+b15[0,01]*Zahl[300.000,600.000,1.200.000] /
U(alt2)= b1.dummy[0,0001|0,00001|0,00001]*G[1,2,3,0] + b2.dummy[0,00001|-0,0001|0,0001]*M[1,2,3,0]+b3.dummy[0,00001|0,00001]*U[1,2,0]+b4.dummy[0,00001|0,00001|0,00001]*Z[1,2,3,0]+ b5.[0,00001]*Entf[100,500,1000]+b15[0,01]*Zahl[300.000,600.000,1.200.000] /
U(alt3)= b0
$
At the moment we keep getting the error message: "Error: The 'model' property contains a prior that has an unknown random distribution type. '0,0001'".
We have so far been unable to spot our mistake, so any help in finding and correcting our mistake would be greatly appreciated.
Thank you very much in advance to anyone willing to help us!
Frederic