Hi,
I have a discrete choice model to estimate for a client that I
originally planned to estimate as an aggregate model using a clogit
routine. Now the client is asking for results for many segments of the
respondents which would mean, if I stayed with my original plan, I would
have to estimate a large number of models. I could certainly do this,
but I'm thinking that it would be better to estimate a Hierarchical
Bayes model to get coefficients for each individual respondent. This
way, I could pull out the people I need for a particular segment and use
just those coefficients. Sawtooth's program for MaxDiff can do this.
Is there any R package to do an HB estimation for a discrete choice
(logit) model?
Thanks,
Walt
________________________
Walter R. Paczkowski, Ph.D.
Data Analytics Corp.
44 Hamilton Lane
Plainsboro, NJ 08536
________________________
(V) 609-936-8999
(F) 609-936-3733
w...@dataanalyticscorp.com
www.dataanalyticscorp.com
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