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’.

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")
```

*aws*version 2.5-5 Index]