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Could you recommend an easy to use or comprehensive conjoint analysis package for R?

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not R, but I use biogeme to estimate discrete choice models for transportation and private sector research: biogeme.epfl.ch. Be glad to give you some tips to get up and running if this is the type of analysis you need to do. – Chase Apr 6 '11 at 23:03

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I've never used R for conjoint analysis, but here are a couple of things I found when I hunted around.

  • Aizaki and Nishimura (2008) have an article "Design and Analysis of Choice Experiments Using R: A brief introduction" (Free PDF available here).

Perhaps check out the following packages:

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mlogit is the best R package I've found for modelling discrete choice data. It supports the basic multinomial logit, as well as more advanced models such as multinomial probit and mixed logit. The package also includes specification tests to choose between different models.

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This is a great answer. One of the vignettes for the package even goes through and answers a bunch of questions from the Train book. – Ari B. Friedman Apr 29 '12 at 14:40
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You may want to use faisalconjoint package in R, it is tested with many published and research data, it works perfectly, one on important thing its works without design restriction and rank procedure. It works in all condition and provide accurate estimates.

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up vote 2 down vote

The best in my opinion for R is a conjoint package from CRAN: http://cran.r-project.org/web/packages/conjoint/index.html

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Welcome to the site, @user24799. Would you mind saying a little bit about this package? Why do you think it's the best? – gung Apr 24 at 23:15

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