Man pages for aws
Adaptive Weights Smoothing
| aws | AWS for local constant models on a grid |
| aws-class | Class '"aws"' |
| awsdata | Extract information from an object of class aws |
| aws.gaussian | Adaptive weights smoothing for Gaussian data with variance... |
| aws.irreg | local constant AWS for irregular (1D/2D) design |
| awsLocalSigma | 3D variance estimation |
| aws-package | Adaptive Weights Smoothing |
| aws.segment | Segmentation by adaptive weights for Gaussian models. |
| awssegment-class | Class '"awssegment"' |
| awstestprop | Propagation condition for adaptive weights smoothing |
| awsweights | Generate weight scheme that would be used in an additional... |
| binning | Binning in 1D, 2D or 3D |
| extract-methods | Methods for Function 'extract' in Package 'aws' |
| gethani | Auxiliary functions (for internal use) |
| ICIcombined | Adaptive smoothing by Intersection of Confidence Intervals... |
| ICIsmooth | Adaptive smoothing by Intersection of Confidence Intervals... |
| ICIsmooth-class | Class '"ICIsmooth"' |
| 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... |
| print-methods | Methods for Function 'print' from package 'base' in Package... |
| 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' |
| smooth3D | Auxiliary 3D smoothing routines |
| smse3ms | Adaptive smoothing in orientation space SE(3) |
| summary-methods | Methods for Function 'summary' from package 'base' in Package... |
| TV_denoising | TV/TGV denoising of image data |
| vaws | vector valued version of function 'aws' The function... |
| vpaws | vector valued version of function 'paws' with homogeneous... |
