ICIcombined: 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)

Arguments

Object of class "array" containing the original (response) data on a grid

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 "character" kernel, can be any of c("Gaussian","Uniform","Triangle","Epanechnicov","Biweight","Triweight"). Defaults to kern="Gaussian".

Object of class "integer" vector of length length(dy) determining the order of derivatives specified for the coordinate directios.

sigma

error standard deviation

nsector

number of sectors to use.

symmetric

Object of class "logical" determines if sectors are symmetric with respect to the origin. ~~Describe symmetric here~~

presmooth

Object of class "logical" determines if bandwidths are smoothed for more stable results.

Value

An object of class ICIsmooth

Details

This mainly follows Chapter 6.2 in Katkovnik et al (2006).

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