[R] Estimating choice models at the individual level

[Data Analytics Corp.]

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
walt at dataanalyticscorp.com
www.dataanalyticscorp.com