Thanks for your reply. Actually I called function as below. p1 = predict(object, newdata, dimen=1) p2 = predict(object, newdata, dimen=1, method=debiased) p3 = predict(object, newdata, dimen=1, method="predictive")
The MAP classification of prediction results by any method are the same. I know what the method "plug-in" and "debiased" mean, but what does the "vague prior" for the method "predictive" mean? what is "vague" here? Thank you, Shengzhe On 8/26/05, Prof Brian Ripley <[EMAIL PROTECTED]> wrote: > On Fri, 26 Aug 2005, Shengzhe Wu wrote: > > > I use lda (package: MASS) to obtain a lda object, then want to employ > > this object to do the prediction for the new data like below: > > > > predict(object, newdata, dimen=1, method=c("plug-in", "predictive", > > "debiased")) > > That is not how you call it: when a character vector is given like that > those are alternatives. Do read the help page, as we ask. > > > What is the exact difference among the three methods? What is the > > difference of prediction results when applying different method? > > This is stated on the help page. If you are unfamiliar with the area, > note that the posting guide points out that MASS is support software for a > book and the explanations are in the book. The help page also has > references: please do read them (before posting). > > > PLEASE do read the posting guide! > > http://www.R-project.org/posting-guide.html > > -- > Brian D. Ripley, [EMAIL PROTECTED] > Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ > University of Oxford, Tel: +44 1865 272861 (self) > 1 South Parks Road, +44 1865 272866 (PA) > Oxford OX1 3TG, UK Fax: +44 1865 272595 > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html