How to do a Choice Design with Disallowed Combinations?

[#1]

I am using the DOE Choice Design function to create a design for a discrete choice experiment. I would like to disallow some combinations of attribute levels due to the fact that they don't make logical sense together, and I would like to decrease the cognitive burden on the respondents. (Ex- disallowing the combination of "no jobs lost" and "8 in 10 households struggle financially") 

I am aware the custom DOE option allows for disallowed combinations, but I still want to be able to implement the prior means/variance matrix as permitted in the "choice design" option. As far as I can tell, using these priors isn't possible in the custom DOE and disallowed combinations isn't possible in the choice design tab. Is there a way I can disallow combinations while still being able to implement my prior means/variance matrix?

[#2 · Accepted solution]

Hi @jlynn21 ,  You are correctly aware of the limited functionality available (as of the release of JMP 19.x); unfortunately Choice Design is the only place where you can incorporate these priors, but the functionality for disallowed combinations is not currently supported (to the extent that I researched and tested this).  I highly encourage you to make a bid for this on the JMP Wish List - JMP User Community!  In the meantime I'll continue to search around and if I can provide any additional suggestions I'll be sure to let you know.   Other than simply generating your Candidate Set and using Data Table Filtering (JMP 19 has improved functionality in this direction) or JSL Scripting to filter out the rows for which the disallowed combinations are applicable.