I am working on a small project where I have to do a Choice Based Conjoint (CBC) analysis. In order to get the part-worths for the different consumers I need to estimate a hierarchical multinomial model. Does anyone know how to do this in R/JAGS, and how to save the estimated coefficients for each consumer in a .csv file?
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asked Jun 28, 2012 at 13:03
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2 Answers
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After a bit og Googling I found the following package which does the trick: http://cran.r-project.org/web/packages/ChoiceModelR/index.html
answered Jul 2, 2012 at 6:12
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MCMCpack has implemented a multinomial logit which will probably be considerably faster than one you've implemented yourself in JAGS, presuming that it meets your needs.
MCMCmnl(formula, baseline=NULL, data=NULL,
burnin = 1000, mcmc = 10000, thin = 1,
mcmc.method = c("IndMH", "RWM", "slice"), tune = 1, tdf=6,
verbose = 0, seed = NA, beta.start = NA, b0 = 0, B0 = 0, ...)
More documentation: http://mcmcpack.wustl.edu/
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1$\begingroup$ Hi Zach, thanks for the reference, but MCMCpack does not seem to offer any hierarchical version of multinomial logit. $\endgroup$ Jun 29, 2012 at 6:43
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$\begingroup$ Ah indeed, I conveniently read over "hierarchical" $\endgroup$– ZachJun 29, 2012 at 17:37