"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