[R] choice-based conjoint

[stephen.kay@adelphigroup.com]

The multinomial model can be used- it's the standard method used, although
there are now more sophisticated ones - see Kenneth Train's website at
Berkley for the Mixed Logit. I too am new to R so can't really comment on
how to implement it in this package. If you want to run more sophisticated
models (e.g. Mixed Logit) and you are an academic (non-commercial) you could
download a free version of Ox (a matrix programming language very similar to
GAUSS) and do a search for Mixed Logit - some one wrote a free routine that
converts Ken Train's GAUSS code to Ox. Afraid I don't have time to look up
the website addresses.

Hope this helps,

Stephen
Stephen Kay
Head of Statistics

Adelphi Group Products
www.adelphigroup.com


-----Original Message-----
From: Felix Eggers [mailto:felix_eggers at gmx.de]
Sent: 31 March 2004 13:50
To: r-help at stat.math.ethz.ch
Subject: [R] choice-based conjoint


Hello everyone,

I am new to this list and the R-Project, so I hope my question is not
trivial or has been answered before. I searched the FAQs and the mailing
list archives and I could not find anything about Conjoint Analysis. I am
especially interested in Choice-based Conjoint, resp. discrete choice
models. 

Is there a function / module that handles this issue? Or can the multinomial
logit model be used? I would doubt the latter, for in a Choice-based
Conjoint analysis the choice has to be conditioned to the alternatives in
the choice set which are not equal for the respondents.

Any help will be much appreciated! Thank you!

Felix

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