Package aws details

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. , Usage of the package in MR imaging is illustrated in Polzehl and Tabelow (2019), Magnetic Resonance Brain Imaging, Appendix A, Springer, Use R! Series. .

Maintainer: Joerg Polzehl < joerg.polzehl at >


From within R, enter citation('aws')


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To install this package, start R and enter:


# Default Install

# from GitHub
neuro_install('aws', release = "stable", release_repo = "github")
neuro_install('aws', release = "current", release_repo = "github")

More detailed installation instructions can be found here.


Initially submitted on February 3 2020 2:54PM
Last updated on March 31 2021 10:00AM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
DependsR (3.4.0), awsMethods(>=1.1-1)
Importsmethods, gsl
Reverse Importsfmri (2.4), qMRI (2.4), dti (2.4.1)