Andra Isan <andra_isan <at> yahoo.com> writes: > > Hi All, > In order to compare two different logistic regressions, > I think I need to compare them based on their BIC > values, but I am not sure if the smaller BIC would mean a better > model or the reverse is true? > Thanks a lot,Andra
Smaller (i.e. lower value) BIC is always better (even if BIC happens to be negative, as can happen in some cases; i.e. BIC=-1002 is better than BIC=-1000, BIC=1000 is better than BIC=1002). I would suggest however that (a) there are better venues for this question (e.g. stats.stackexchange.com), since it's a stats and not an R question; (b) it might be a good idea to review a stats text, or even http://en.wikipedia.org/wiki/Bayesian_information_criterion , since this is a pretty basic question. ______________________________________________ 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.
