"kernsm"This class refers to objects created by function kernsm. These objects contain
Objects can be created by calls of the form new("kernsm", ...). they are usually
created by a call to function{kernsm}.
.Data:Object of class "list", usually empty.
y:Object of class "array" containing the response in
nonparametric regression. The design is assumed to be a 1D, 2D or 3D grid,
with dimensionality determined by dim(y).
dy:Object of class "numeric" containing dim(y).
x:Object of class "numeric" currently not used.
h:Object of class "numeric" containing the bandwidth employed.
kern:Object of class "character" determining the kernel that was used,
can be one of c("Gaussian","Uniform","Triangle","Epanechnikov","Biweight","Triweight")
m:Object of class "integer" with length length(dy) determining the
order of derivatives in the corresponding coordinate directions. If m[i6>0] a
dirivative kernel derived from kern has been used for the
corresponding coordinate direction.
nsector:Object of class "integer". If nsector>1 positive weights
are restricted to a segment of a circle (1D or 2D only). The segment is given by
sector.
sector:Object of class "integer" containing the number of the segment
used in case of nsector>1
symmetric:Object of class "logical" determines if the sector is mirrored at the origin.
yhat:Object of class "array" with same size and dimension as y providing
the convolution of y with the chosen kernel.
vred:Object of class "array" Variance reduction achieved by convolution
assuming independence.
call:Object of class "function", call that created the object.
signature(x = "aws"): ...
signature(y = "aws"): ...
Method for Function `plot' in Package `aws'.
Method for Function `show' in Package `aws'.
Method for Function `print' in Package `aws'.
Method for Function `summary' in Package `aws'.
J\"org Polzehl polzehl@wias-berlin.de
kernsm,
ICIsmooth,
ICIcombined,
ICIsmooth