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Thank you for your response. I learned a lot.

I have an additional question.
The following literature has been published.
https://www.tandfonline.com/doi/full/10.1080/03007995.2022.2129800?rfr_dat=cr_pub++0pubmed&url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org#d1e350

The following ...

It's disappointing that the model cannot be estimated with the current experimental design.

Is there a way to conduct a DCE with this experimental design?

I would like to explore using a D-optimal design as much as possible.

Also, on the Ngene HP (https://www.choice-metrics.com/features), does ...

Thank you for your prompt reply.

The reject conditions I mentioned earlier were different from the experimental design.

I've corrected them to match the experimental design, but the result is still "Undefined".

I would be grateful for your assistance.

Thank you.

Design
;alts = alt1*, alt2 ...

When I run the program below, the MNL D-Error becomes "Undefined".

Could the reason be that there are impossible combinations between E and F within the reject conditions?

If that's the case, would it be necessary to revise the experimental design?

If this can be resolved by modifying the program ...

To deepen my understanding, I would like to ask a question.
I am planning experiments with two health states (state A, state B) (= part A) and three health states (state A, state B, death) (= part B).
For part B, I want to design it so that state A and state B are the same as in part A, but with ...

To deepen my understanding, I would like to ask a question.
When planning an experiment with three health states (state A, state B, and “immediate death”), the D-error and S estimate (sample size) become larger compared to when there are only two health states (state A, state B).
I thought that ...

It’s been a while since I last asked, so I’d like to ask a question.
Is it still true that D-error values will generally be smaller than 1, and values larger than 1 are often suspicious?
For example, if there are three designs with D-error of less than 0.1, 0.5, and 0.9, which one is considered ...

My understanding is getting better.
However, I don't quite understand "constraints".
Why can't I use the swapping algorithm with the following programs?
Design
;alts = alt1*, alt2*
;rows = 42
;eff = (mnl, d)
;alg = swap(stop=total(1000000 iterations))
;block = 3
;model:
U(alt1) = b1.dummy[1.269 ...

I learned a lot today. Thank you very much.
I found that there are two types of efficient designs: mfederov algorithm and swapping algorithm.
I've always kind of used the mfederov algorithm.
How do I select algorithm?
I want a reference information for the algorithm selection.

Thank you for your reply.
I modified the program from your advice.
Let me know if something comes up.
I put life-year in b8, but is there anything I should be careful about?
Design
;alts = alt1*, alt2*, death
;rows = 75
;eff = (mnl, d)
;alg = mfederov(stop = total(1000000 iterations))
;block = 5 ...