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:[EMAIL PROTECTED] Sent: 31 March 2004 13:50 To: [EMAIL PROTECTED] 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 [[alternative HTML version deleted]] ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html DISCLAIMER: The information in this message is confidential ...{{dropped}} ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html