ICIsmooth {aws} | R Documentation |
The function performs adaptive smoothing by Intersection of Confidence Intervals (ICI) as described in Katkovnik et al (2006)
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"))
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 |
This mainly follows Chapter 6.1 in Katkovnik et al (2006).
An object of class ICIsmooth
Joerg Polzehl polzehl@wias-berlin.de
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 (URL: http://doi.org/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
ICIcombined
, ICIsmooth-class
, kernsm