This may be somewhat useful, but I might have more later.
http://florence.acadiau.ca/collab/hugh_public/index.php?title=R:CheckBinFit
(the code below is copied from the URL above)
CheckBinFit <- function(y,phat,nq=20,new=T,...) {
if(is.factor(y)) y <- as.double(y)
y <- y-mean(y)
y[y>0
Hi all,
I'd like to do cross-validation on lm and get the resulting lift curve/table
(or, alternatively, the estimates on 100% of my data with which I can get
lift).
If such a thing doesn't exist, could it be derived using cv.lm, or would we
need to start from scratch?
Thanks!
--
Eric Siegel,
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