"ICIsmooth"
ICIsmooth-class.Rd
The "ICIsmooth"
class is
used for objects obtained by functions ICIsmooth
and ICIcombined
.
Objects can be created by calls of the form new("ICIsmooth", ...)
or by functions ICIsmooth
and ICIcombined
.
.Data
:Object of class "list"
, usually empty.
y
:Object of class "array"
containing the original (response) data
dy
:Object of class "numeric"
dimension attribute of y
x
:Object of class "numeric"
if provided the design points
hmax
:Object of class "numeric"
maximum bandwidth
hinc
:Object of class "numeric"
initial bandwidth
thresh
:Object of class "numeric"
threshold used for bandwidth selection
kern
:Object of class "character"
kernel, can be any of
c("Gaussian","Uniform","Triangle","Epanechnicov","Biweight","Triweight")
.
Defaults to kern="Gaussian"
.
m
:Object of class "integer"
vector of length length(dy)
determining the order of derivatives specified for the coordinate directios.
nsector
:Object of class "integer"
number of sectors to use.
sector
:Object of class "integer"
sector used.
symmetric
:Object of class "logical"
sectors are symmetric with respect to the origin.
yhat
:Object of class "array"
smoothed response variable
vhat
:Object of class "array"
estimated variance of smoothed response variable
hbest
:Object of class "array"
selected bandwidth(s))
sigma
:Object of class "numeric"
estimated standard deviation of errors in y
call
:Object of class "call"
that created the object.
signature(x = "ICIsmooth")
: ...
signature(y = "ICIsmooth")
: ...
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'.
V. Katkovnik, K. Egiazarian and J. Astola, Local Approximation Techniques in Signal And Image Processing, SPIE Society of Photo-Optical Instrumentation Engin., 2006, PM157
Joerg Polzehl polzehl@wias-berlin.de
showClass("ICIsmooth")
#> Class "ICIsmooth" [package "aws"]
#>
#> Slots:
#>
#> Name: .Data y dy x hmax hinc thresh
#> Class: list array numeric numeric numeric numeric numeric
#>
#> Name: kern m nsector sector symmetric yhat vhat
#> Class: character integer integer integer logical array array
#>
#> Name: hbest sigma call
#> Class: array numeric call