Hi!
I'm trying to implement in R in an easy way the negative reflection method
described in Silverman (1986) on p.31, ie I have a non-negative dataset and
would like to estimate the density by applying a reflection method where the
reflected points have weight -1.
I thought there should be a way to evaluate the wanted kernel at the
required points, in other words to calculate formula (2.16):
fhat(x) = 1/(nh) * sum_{i=1}^{n}{ K( (x-Xi) /h) - K( (x-Xi) /h) }Unfortunately, I am still not that good and skilled with R - does anybody know how to do this- Or maybe a hint...? Thank you!! PS: you can also find the mentioned passage on p.21 of http://ned.ipac.caltech.edu/level5/March02/Silverman/paper.pdf -- View this message in context: http://r.789695.n4.nabble.com/Implementing-Silverman-s-Negative-Reflection-tp3859191p3859191.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
