Kernel support estimate
Kernel support estimate for 2-dimensional data.
ksupp(fhat, cont=95, abs.cont, convex.hull=FALSE)
fhat |
object of class |
cont |
percentage for contour level curve. Default is 95. |
abs.cont |
absolute density estimate height for contour level curve |
convex.hull |
flag to compute convex hull of contour level curve. Default is FALSE. |
The kernel support estimate is the level set of the density estimate
that exceeds the cont percent contour level. If this level set
is a simply connected region, then this can suffice to be a
conservative estimate of the density support. Otherwise, the convex
hull of the level set is advised.
A kernel support estimate is a 2-column matrix which delimits the
(convex hull of the) level set of the density estimate fhat.
library(oz) data(grevillea) fhat <- kde(x=grevillea) fhat.supp <- ksupp(fhat, convex.hull=TRUE) plot(fhat, display="filled.contour", cont=seq(10,90,by=10), drawlabels=FALSE) plot(fhat, cont=95, add=TRUE) polygon(fhat.supp, lty=2)
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