Hi all, Does anyone knows how to handle ordered preferences applying the R package mlogit (multinomial logit model)? My data set provides for each customer preferences (given as percentages) for 6 different brands. I would like to use for model calibration not just that brand with maximum stated preference.
I know that ordered preferences can be used in the R package MNP (multinomial Probit model) but I can't use that package due to numerical problems. Mlogit has an option "weights". Can that option be used to solve my problem? Best regards, Holger ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
