This package is considered a duplicate. The official version of this package is found at:https://jpolzehl.r-universe.dev/aws

Package: aws 2.5-7

Joerg Polzehl

aws: Adaptive Weights Smoothing

We provide a collection of R-functions implementing adaptive smoothing procedures in 1D, 2D and 3D. This includes the Propagation-Separation Approach to adaptive smoothing, the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter. The package is described in detail in Polzehl J, Papafitsoros K, Tabelow K (2020). Patch-Wise Adaptive Weights Smoothing in R. Journal of Statistical Software, 95(6), 1-27. <doi:10.18637/jss.v095.i06>, Usage of the package in MR imaging is illustrated in Polzehl and Tabelow (2023), Magnetic Resonance Brain Imaging, 2nd Ed. Appendix A, Springer, Use R! Series. <doi:10.1007/978-3-031-38949-8>.

Authors:Joerg Polzehl [aut, cre], Felix Anker [ctb]

aws_2.5-7.tar.gz
aws_2.5-7.zip(r-4.7-x86_64)aws_2.5-7.zip(r-4.7-arm64)aws_2.5-7.zip(r-4.6-x86_64)aws_2.5-7.zip(r-4.6-arm64)
aws_2.5-7.tar.gz(r-4.7-arm64)aws_2.5-7.tar.gz(r-4.7-x86_64)aws_2.5-7.tar.gz(r-4.6-arm64)aws_2.5-7.tar.gz(r-4.6-x86_64)
aws_2.5-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
aws/json (API)

# Install 'aws' in R:

install.packages('aws', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
openmp– GCC OpenMP (GOMP) support library

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas openmp

4.61 score 8 packages 57 scripts 955 downloads 3 mentions 47 exports 2 dependencies

Last updated from:c117fde791. Checks:8 OK, 1 ERROR, 1 WARNING. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	157
linux-devel-x86_64	OK	143
source / vignettes	ERROR	3068
linux-release-arm64	OK	116
linux-release-x86_64	OK	144
windows-devel-arm64	OK	240
windows-devel-x86_64	OK	143
windows-release-arm64	WARNING	231
windows-release-x86_64	OK	141
wasm-release	OK	95

Exports:AFLocalSigma aws aws.gaussian aws.irreg aws.segment aws3Dmask aws3Dmaskfull awsdata awslinsd awsLocalSigma awstestprop awsweights binning estGlobalSigma estimateSigmaCompl extract gethani getvofh ICIcombined ICIsmooth kernsm lpaws medianFilter3D nlmeans paws pawstestprop plot print qmeasures residualSpatialCorr residualVariance risk show smooth3D smse3 smse3ms sofmchi summary TGV_denoising TGV_denoising_colour TV_denoising TV_denoising_colour vaws vawscov vpaws vpawscov vpawscov2

Dependencies:awsMethods gsl

Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.

A very short inroduction into the aws package

Rendered fromaws-Example.Rnwusingutils::Sweave

Last update: 2026-07-13
Started: 2020-02-19

Help page	Topics
Adaptive Weights Smoothing	aws-package
Auxiliary functions (for internal use)	gethani getvofh residualSpatialCorr residualVariance sofmchi
AWS for local constant models on a grid	aws
Class '"aws"'	aws-class
Adaptive weights smoothing for Gaussian data with variance depending on the mean.	aws.gaussian
local constant AWS for irregular (1D/2D) design	aws.irreg
Segmentation by adaptive weights for Gaussian models.	aws.segment
Extract information from an object of class aws	awsdata
3D variance estimation	AFLocalSigma awslinsd awsLocalSigma estGlobalSigma estimateSigmaCompl
Class '"awssegment"'	awssegment-class
Propagation condition for adaptive weights smoothing	awstestprop pawstestprop
Generate weight scheme that would be used in an additional aws step	awsweights
Binning in 1D, 2D or 3D	binning
Methods for Function 'extract' in Package 'aws'	extract,ANY-method extract,aws-method extract,awssegment-method extract,ICIsmooth-method extract,kernsm-method extract-methods
Adaptive smoothing by Intersection of Confidence Intervals (ICI) using multiple windows	ICIcombined
Adaptive smoothing by Intersection of Confidence Intervals (ICI)	ICIsmooth
Class '"ICIsmooth"'	ICIsmooth-class
Kernel smoothing on a 1D, 2D or 3D grid	kernsm
Class '"kernsm"'	kernsm-class
Local polynomial smoothing by AWS	lpaws
NLMeans filter in 1D/2D/3D	nlmeans
Adaptive weigths smoothing using patches	paws pawsm
Methods for Function `plot' from package 'graphics' in Package `aws'	plot,ANY-method plot,aws-method plot,awssegment-method plot,ICIsmooth-method plot,kernsm-method plot-methods
Methods for Function `print' from package 'base' in Package `aws'	print,ANY-method print,aws-method print,awssegment-method print,ICIsmooth-method print,kernsm-method print-methods
Quality assessment for image reconstructions.	qmeasures
Compute risks characterizing the quality of smoothing results	risk,ANY-method risk,array-method risk,aws-method risk,awssegment-method risk,ICIsmooth-method risk,kernsm-method risk,numeric-method risk-methods
Methods for Function `show' in Package `aws'	show,ANY-method show,aws-method show,awssegment-method show,ICIsmooth-method show,kernsm-method show-methods
Auxiliary 3D smoothing routines	aws3Dmask aws3Dmaskfull medianFilter3D smooth3D
Adaptive smoothing in orientation space SE(3)	smse3 smse3ms
Methods for Function `summary' from package 'base' in Package `aws'	summary,ANY-method summary,aws-method summary,awssegment-method summary,ICIsmooth-method summary,kernsm-method summary-methods
TV/TGV denoising of image data	TGV_denoising TGV_denoising_colour TV_denoising TV_denoising_colour
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.	vaws vawscov
vector valued version of function 'paws' with homogeneous covariance structure	vpaws vpawscov vpawscov2

Package: aws 2.5-7

aws: Adaptive Weights Smoothing

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