R: Class '"ICIsmooth"'

ICIsmooth-class {aws} | R Documentation

## Class `"ICIsmooth"`

### Description

The `"ICIsmooth"` class is used for objects obtained by functions `ICIsmooth` and `ICIcombined`.

### Objects from the Class

Objects can be created by calls of the form `new("ICIsmooth", ...)` or by functions `ICIsmooth` and `ICIcombined`.

### Slots

`.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.

### Methods

extract

  `signature(x = "ICIsmooth")`: ...

risk

  `signature(y = "ICIsmooth")`: ...

plot

  Method for Function ‘plot’ in Package ‘aws’.

show

  Method for Function ‘show’ in Package ‘aws’.

print

  Method for Function ‘print’ in Package ‘aws’.

summary

  Method for Function ‘summary’ in Package ‘aws’.

### Author(s)

Joerg Polzehl polzehl@wias-berlin.de

### References

V. Katkovnik, K. Egiazarian and J. Astola, Local Approximation Techniques in Signal And Image Processing, SPIE Society of Photo-Optical Instrumentation Engin., 2006, PM157

### See Also

`ICIsmooth`, `ICIcombined`, `kernsm`, `aws`

### Examples

    showClass("ICIsmooth")

[Package aws version 2.2-1 Index]