ICIcombined {aws} | R Documentation |
Adaptive smoothing by Intersection of Confidence Intervals (ICI) using multiple windows
Description
The function performs adaptive smoothing by Intersection of Confidence Intervals (ICI) using multiple windows as described in Katkovnik et al (2006)
Usage
ICIcombined(y, hmax, hinc = 1.45, thresh = NULL, kern = "Gaussian", m = 0,
sigma = NULL, nsector = 1, symmetric = FALSE, presmooth = FALSE,
combine = "weighted", 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. |
symmetric |
Object of class |
presmooth |
Object of class |
combine |
Either |
unit |
How should the bandwidth be interpreted in case of a Gaussian kernel.
For |
Details
This mainly follows Chapter 6.2 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
ICIsmooth
, ICIsmooth-class
, kernsm