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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>.
Version: | 2.5-5 |
Depends: | R (≥ 3.4.0), awsMethods (≥ 1.1-1) |
Imports: | methods, gsl |
Published: | 2024-02-07 |
DOI: | 10.32614/CRAN.package.aws |
Author: | Joerg Polzehl [aut, cre], Felix Anker [ctb] |
Maintainer: | Joerg Polzehl <joerg.polzehl at wias-berlin.de> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Copyright: | This package is Copyright (C) 2005-2024 Weierstrass Institute for Applied Analysis and Stochastics. |
URL: | https://www.wias-berlin.de/people/polzehl/ |
NeedsCompilation: | yes |
Citation: | aws citation info |
Materials: | README |
CRAN checks: | aws results |
Reference manual: | aws.pdf |
Vignettes: |
A very short inroduction into the aws package |
Package source: | aws_2.5-5.tar.gz |
Windows binaries: | r-devel: aws_2.5-5.zip, r-release: aws_2.5-5.zip, r-oldrel: aws_2.5-5.zip |
macOS binaries: | r-release (arm64): aws_2.5-5.tgz, r-oldrel (arm64): aws_2.5-5.tgz, r-release (x86_64): aws_2.5-5.tgz, r-oldrel (x86_64): aws_2.5-5.tgz |
Old sources: | aws archive |
Reverse imports: | BBEST, dti, fmri, GLAD, LOMAR, qMRI |
Please use the canonical form https://CRAN.R-project.org/package=aws to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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