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aws (version 2.5-6)

Adaptive Weights Smoothing

Description

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. , 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. .

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Version

Install

install.packages('aws')

Monthly Downloads

1,114

Version

2.5-6

License

GPL (>= 2)

Maintainer

Joerg Polzehl

Last Published

September 30th, 2024

Functions in aws (2.5-6)

aws-class

Class "aws"
aws.irreg

local constant AWS for irregular (1D/2D) design
aws.segment

Segmentation by adaptive weights for Gaussian models.
extract-methods

Methods for Function extract in Package aws
awsweights

Generate weight scheme that would be used in an additional aws step
binning

Binning in 1D, 2D or 3D
awssegment-class

Class "awssegment"
auxiliary

Auxiliary functions (for internal use)
awsLocalSigma

3D variance estimation
awstestprop

Propagation condition for adaptive weights smoothing
kernsm-class

Class "kernsm"
kernsm

Kernel smoothing on a 1D, 2D or 3D grid
awsdata

Extract information from an object of class aws
nlmeans

NLMeans filter in 1D/2D/3D
smooth3D

Auxiliary 3D smoothing routines
smse3ms

Adaptive smoothing in orientation space SE(3)
show-methods

Methods for Function `show' in Package `aws'
lpaws

Local polynomial smoothing by AWS
risk-methods

Compute risks characterizing the quality of smoothing results
qmeasures

Quality assessment for image reconstructions.
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'
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
ICIsmooth

Adaptive smoothing by Intersection of Confidence Intervals (ICI)
TV_denoising

TV/TGV denoising of image data
ICIsmooth-class

Class "ICIsmooth"
ICIcombined

Adaptive smoothing by Intersection of Confidence Intervals (ICI) using multiple windows
aws-package

tools:::Rd_package_title("aws")
aws

AWS for local constant models on a grid
aws.gaussian

Adaptive weights smoothing for Gaussian data with variance depending on the mean.