ICIsmooth {aws} | R Documentation |

## Adaptive smoothing by Intersection of Confidence Intervals (ICI)

### Description

The function performs adaptive smoothing by Intersection of Confidence Intervals (ICI) as described in Katkovnik et al (2006)

### Usage

```
ICIsmooth(y, hmax, hinc = 1.45, thresh = NULL, kern = "Gaussian", m = 0,
sigma = NULL, nsector = 1, sector = 1, symmetric = FALSE,
presmooth = FALSE, unit = c("SD","FWHM"))
```

### Arguments

`y` |
Object of class |

`hmax` |
maximum bandwidth |

`hinc` |
factor used to increase the bandwidth from scale to scale |

`thresh` |
threshold used in tests to determine the best scale |

`kern` |
Determines the kernel function.
Object of class |

`m` |
Object of class |

`sigma` |
error standard deviation |

`nsector` |
number of sectors to use. Positive weights are restricted to the sector
selected by |

`sector` |
Object of class |

`symmetric` |
Object of class |

`presmooth` |
Object of class |

`unit` |
How should the bandwidth be interpreted in case of a Gaussian kernel.
For |

### Details

This mainly follows Chapter 6.1 in Katkovnik et al (2006).

### Value

An object of class `ICIsmooth`

### Author(s)

Joerg Polzehl polzehl@wias-berlin.de

### References

J. Polzehl, K. Papafitsoros, K. Tabelow (2020). Patch-Wise Adaptive Weights Smoothing in R, Journal of Statistical Software, 95(6), 1-27. doi:10.18637/jss.v095.i06.

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

`ICIcombined`

, `ICIsmooth-class`

, `kernsm`

*aws*version 2.5-5 Index]