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 2.5-1

Index]