I have about 20 000 cases with discrete variables (some are counts, some are factors). I'm interested in fitting a series of models outcome ~ 1 outcome ~ sex outcome ~ sex + age outcome ~ age * sex outcome ~ age * sex + location ...
I do NOT expect to get any statistical significance out of this at all; it's purely exploratory (this is a small sample of the full data set). I'm trying multinom (present continuous because it is not a fast method); what are recommended ways of doing it? As part of this question, what would fitting a "Naive Bayes" model look like in R? ______________________________________________ [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
