aws: Adaptive Weights Smoothing (original) (raw)
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: | 2.5-6 |
|---|---|
| Depends: | R (≥ 3.4.0), awsMethods (≥ 1.1-1) |
| Imports: | methods, gsl |
| Published: | 2024-09-30 |
| 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: | |
| CRAN checks: | aws results |
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