Adaptive Weights Smoothing
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-18
Show 2 earlier changesHide 2 earlier changes
- NOTE12 OK, 1 NOTE2026-07-11
- OK14 OK2026-03-10
Documentation
- Help pages
- 33includes a package overview page
- Examples that run
- 77%10 run in a plain check · 3 never run
- Exported functions with examples
- 41%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 67%
Also includes 12 demo scripts (run with demo())
Downloads
Dependencies
Installing aws adds 2 packages (2 with compiled code, 231 KB of source tarballs). Heaviest: gsl 227 KB, awsMethods 4.2 KB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 2.5-7Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 2.5-62024-09-30 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 2.5-52024-02-07 · diff ↗
- 2.5-42024-02-02 · diff ↗
- 2.5-32023-06-22 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 2.5-12021-01-11 · diff ↗
- 2.52020-10-02 · diff ↗
- 2.4-3
- RR 4.0.0 released · 2020-04-24
- 2.4-22020-04-17 · diff ↗
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- 2.4-12020-02-19 · diff ↗
- 2.4-02020-01-21 · diff ↗ ·
removed 2 exports
pawsm, vpawscovadded 17 exports
estimateSigmaCompl, medianFilter3D, vpawscov2, smse3, smse3ms, aws3Dmask, aws3Dmaskfull, gethani, getvofh, awsLocalSigma, AFLocalSigma, estGlobalSigma, sofmchi, residualSpatialCorr, residualVariance, smooth3D, awslinsd - 2.3-02019-11-16 · diff ↗
- 2.2-1.12019-10-30 · diff ↗
- 2.2-1
- RR 3.6.0 released · 2019-04-26
- 2.2-02018-07-30 · diff ↗ ·
added 13 exports
paws, pawsm, vaws, vawscov, vpaws, vpawscov, awsweights, TV_denoising, TGV_denoising, TV_denoising_colour, TGV_denoising_colour, qmeasures, nlmeans - RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.9-62016-09-15 · diff ↗
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- 1.9-42014-03-05 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 1.9-3
- 1.8-0
- RR 2.15.0 released · 2012-03-30
- 1.7-12011-12-11 · diff ↗
- RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- 1.6-22010-04-07 · diff ↗
- RR 2.10.0 released · 2009-10-26
- 1.6-1
- RR 2.9.0 released · 2009-04-17
- 1.6
- RR 2.8.0 released · 2008-10-20
- RR 2.7.0 released · 2008-04-22
- RR 2.6.0 released · 2007-10-03
- 1.3-3.12007-07-07 · diff ↗
- RR 2.5.0 released · 2007-04-24
- RR 2.4.0 released · 2006-10-03
- RR 2.3.0 released · 2006-04-24
- 1.3-22006-01-08 · diff ↗
- RR 2.2.0 released · 2005-10-06
- RR 2.1.0 released · 2005-04-18
- 1.3-02004-12-27 · diff ↗
- RR 2.0.0 released · 2004-10-04
- RR 1.9.0 released · 2004-04-12
- RR 1.8.0 released · 2003-10-08
- RR 1.7.0 released · 2003-04-16
- 1.2-02002-11-27 · diff ↗
- RR 1.6.0 released · 2002-10-01
- RR 1.5.0 released · 2002-04-29
- 1.0-42002-04-26 · diff ↗
- 1.0-12002-02-15
Package metadata
- First published
- 2002-02-15
- Total releases
- 29 / 24 yrs
- License
- GPL (>= 2) OSI
- Copyright
- This package is Copyright (C) 2005-2024 Weierstrass Institute for Applied Analysis and Stochastics.
- Minimum R
- ≥ 3.4.0
- Download size
- 694 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("aws")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v095.i06, 10.1007/978-3-030-29184-6.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.