KernSmooth-internal {KernSmooth}R Documentation

Internal KernSmooth functions

Description

Internal KernSmooth functions

Usage

blkest(x, y, Nval, q)
cpblock(X, Y, Nmax, q)
linbin(X, gpoints, truncate=TRUE)
linbin2D(X, gpoints1, gpoints2)
rlbin(X, Y, gpoints, truncate=TRUE)
sdiag(x, drv=0, degree=1, kernel="normal",
      bandwidth, gridsize=401, bwdisc=25, range.x,
      binned=FALSE, truncate=TRUE)
sstdiag(x, drv=0, degree=1, kernel="normal",
        bandwidth, gridsize=401, bwdisc=25, range.x,
        binned=FALSE, truncate=TRUE)

Details

These are not to be called by the user.

blkest is used to obtain preliminary estimates of quantities required for the ``direct plug-in'' regression bandwidth selector based on blocked qth degree polynomial fits.

cpblock chooses the number of blocks for the preliminary step of a plug-in rule using Mallows' C_p.

linbin applies linear binning to a univariate data set.

linbin2D applies linear binning to a bivariate data set.

rlbin applies linear binning to a regression data set.

sdiag computes the binned diagonal entries of a smoother matrix for local polynomial kernel regression.

sstdiag computes the binned diagonal entries of SS^T where S is a smoother matrix for local polynomial kernel regression.


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