I am trying to generate a RP-panel efficient design using priors. However, it has been running for four days and it still hasn't found a design. You responded the following to help:
"I would suggest moving incrementally to a full RP-panel design. Add one random parameter at a time, without Bayesian priors, and perhaps use the cross sectional mixed logit model initially. As you incrementally move to the full specification, check that the choice probabilities are reasonable. There are likely some outlying values drawn from either the random parameter or Bayesian prior distributions that are leading the singular
Fisher information matrices.
Even with good priors, the design will take a very long time to run, as there are three layers of integration (random parameters, Bayesian priors, and the random parameters panel)."
I am now wondering how you incrementally move to a full RP-panel design?
This is my current design:
?A 4 levels Price
?B a; None
?C b; None
?D c; None
?E d; None
?i1 B*C
?i2 B*D
?i3 B*E
Design
;alts = alt1, alt2, alt3
;rows = 36
;block = 3
;eff = (rppanel,d, median)
;rep = 350
;rdraws = halton(200)
;model:
U(alt1) = b1[-.48912]*A[5.99,7.99,9.99,11.99] + b2[n,(n,.50189,.55349),(u, 0.29292,1.66692)]*B[0,1]+b3[n,(n,.16082,.36702),(u, 0.21337,1.17877)]*C[0,1]+ b4[n,(n,.42309,.34874),(u,0.35747,1.32161)]*D[0,1] + b5[n,(n,.61217,.33508),(u,0,0.95723)]*E[0,1] + i1[1.19208]*B*C + i2[0.29299]*B*D +i3[-0.59302]*B*E /
U(alt2) = b1*A + b2*B + b3*C + b4*D + b5*E + i1*B*C + i2*B*D + i3*B*E$
Thanks!
Karen