This class refers to objects created by function kernsm. These objects
contain
Objects from the Class
Objects can be created by calls of the form new("kernsm", ...). they are usually
created by a call to function{kernsm}.
Slots
.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.