Adaptive Weights Smoothing

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Documentation for package ‘aws’ version 2.5-5

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aws-package Adaptive Weights Smoothing
AFLocalSigma 3D variance estimation
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.
aws3Dmask Auxiliary 3D smoothing routines
aws3Dmaskfull Auxiliary 3D smoothing routines
awsdata Extract information from an object of class aws
awslinsd 3D variance estimation
awsLocalSigma 3D variance estimation
awssegment-class Class '"awssegment"'
awstestprop Propagation condition for adaptive weights smoothing
awsweights Generate weight scheme that would be used in an additional aws step
binning Binning in 1D, 2D or 3D
estGlobalSigma 3D variance estimation
estimateSigmaCompl 3D variance estimation
extract-method Methods for Function 'extract' in Package 'aws'
extract-methods Methods for Function 'extract' in Package 'aws'
gethani Auxiliary functions (for internal use)
getvofh Auxiliary functions (for internal use)
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
medianFilter3D Auxiliary 3D smoothing routines
nlmeans NLMeans filter in 1D/2D/3D
paws Adaptive weigths smoothing using patches
pawsm Adaptive weigths smoothing using patches
pawstestprop Propagation condition for adaptive weights smoothing
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'
qmeasures Quality assessment for image reconstructions.
residualSpatialCorr Auxiliary functions (for internal use)
residualVariance Auxiliary functions (for internal use)
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'
smooth3D Auxiliary 3D smoothing routines
smse3 Adaptive smoothing in orientation space SE(3)
smse3ms Adaptive smoothing in orientation space SE(3)
sofmchi Auxiliary functions (for internal use)
summary-method Methods for Function 'summary' from package 'base' in Package 'aws'
summary-methods Methods for Function 'summary' from package 'base' in Package 'aws'
TGV_denoising TV/TGV denoising of image data
TGV_denoising_colour TV/TGV denoising of image data
TV_denoising TV/TGV denoising of image data
TV_denoising_colour TV/TGV denoising of image data
vaws vector valued version of function 'aws' The function implements the propagation separation approach to nonparametric smoothing (formerly introduced as Adaptive weights smoothing) for varying coefficient likelihood models with vector valued response on a 1D, 2D or 3D grid.
vawscov vector valued version of function 'aws' The function implements the propagation separation approach to nonparametric smoothing (formerly introduced as Adaptive weights smoothing) for varying coefficient likelihood models with vector valued response on a 1D, 2D or 3D grid.
vpaws vector valued version of function 'paws' with homogeneous covariance structure
vpawscov vector valued version of function 'paws' with homogeneous covariance structure
vpawscov2 vector valued version of function 'paws' with homogeneous covariance structure