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I wan't to draw 95% prediction area of an LDA model.

I can draw the prediciton area, however with no information on the confidence.

# train model ---- mdl1 <- MASS::lda(y~ x1+ x2,data=traindata) summary(mdl1) # partition matrix klaR::partimat(y~ x1+ x2, data=traindata, method="lda",prec=250, image.colors=c("pink","lightgreen","lightblue"), na.correct=NA, col.wrong=NA, gs=NA, col.mean=NA, main="Main title")

I would like to get something like in this article: https://www.sciencedirect.com/science/article/pii/S0048969712016191

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One option to calculate confident interval is to use bootstrap : repeat your model several times (exemple 100 times) on a random subsample of your dataset (randomly select 90% of your dataset each time).

Instead of having one result, you will have 100 results (similar results, but with a slight difference) and you can use these results to build your confident interval (order your results and take quantile 5% and 95%)

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  • $\begingroup$ Quite trivial, still didn't think upon it. Thanks! $\endgroup$ Commented May 23, 2019 at 7:59

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