Adaptive Weights Smoothing

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Documentation for package ‘aws’ version 1.9-4

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aws-package Adaptive Weights Smoothing
aws AWS for local constant models on a grid
aws-class Class '"aws"'
aws.gaussian Adaptive weights smoothing for Gaussian data with variance depending on the mean.
aws.irreg local constant AWS for irregular (1D/2D) design
aws.segment Segmentation by adaptive weights for Gaussian models.
awsdata Extract information from an object of class aws
awssegment-class Class '"awssegment"'
awstestprop Propagation condition for adaptive weights smoothing
binning Binning in 1D, 2D or 3D
extract-method Methods for Function 'extract' in Package 'aws'
extract-methods Methods for Function 'extract' in Package 'aws'
ICIcombined Adaptive smoothing by Intersection of Confidence Intervals (ICI) using multiple windows
ICIsmooth Adaptive smoothing by Intersection of Confidence Intervals (ICI)
ICIsmooth-class Class '"ICIsmooth"'
kernsm Kernel smoothing on a 1D, 2D or 3D grid
kernsm-class Class '"kernsm"'
lpaws Local polynomial smoothing by AWS
plot-method Methods for Function 'plot' from package 'graphics' in Package 'aws'
plot-methods Methods for Function 'plot' from package 'graphics' in Package 'aws'
print-method Methods for Function 'print' from package 'base' in Package 'aws'
print-methods Methods for Function 'print' from package 'base' in Package 'aws'
risk-method Compute risks characterizing the quality of smoothing results
risk-methods Compute risks characterizing the quality of smoothing results
show-method Methods for Function 'show' in Package 'aws'
show-methods Methods for Function 'show' in Package 'aws'
summary-method Methods for Function 'summary' from package 'base' in Package 'aws'
summary-methods Methods for Function 'summary' from package 'base' in Package 'aws'