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"'
TV_denoising            TV/TGV denoising of image data
aws                     AWS for local constant models on a grid
aws-class               Class '"aws"'
aws-package             Adaptive Weights Smoothing
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
awsweights              Generate weight scheme that would be used in an
                        additional aws step
binning                 Binning in 1D, 2D or 3D
extract-methods         Methods for Function 'extract' in Package 'aws'
kernsm                  Kernel smoothing on a 1D, 2D or 3D grid
kernsm-class            Class '"kernsm"'
lpaws                   Local polynomial smoothing by AWS
nlmeans                 NLMeans filter in 1D/2D/3D
paws                    Adaptive weigths smoothing using patches
plot-methods            Methods for Function 'plot' from package
                        'graphics' in Package 'aws'
print-methods           Methods for Function 'print' from package
                        'base' in Package 'aws'
qmeasures               Quality assessment for image reconstructions.
risk-methods            Compute risks characterizing the quality of
                        smoothing results
show-methods            Methods for Function 'show' in Package 'aws'
summary-methods         Methods for Function 'summary' from package
                        'base' in Package 'aws'
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.
vpaws                   vector valued version of function 'paws' with
                        homogeneous covariance structure
