aws: 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 as described in "J. Polzehl and V. Spokoiny (2006) <doi:10.1007/s00440-005-0464-1>", "J. Polzehl and V. Spokoiny (2004) <doi:10.20347/WIAS.PREPRINT.998>" and "J. Polzehl, K. Papafitsoros, K. Tabelow (2018) <doi:10.20347/WIAS.PREPRINT.2520>", the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter. Usage of the package is also described in Polzehl and Tabelow (2019), Magnetic Resonance Brain Imaging, Appendix A, Springer, Use R! Series. <doi:10.1007/978-3-030-29184-6_6>.

Version: 2.4-0
Depends: R (≥ 3.4.0), awsMethods (≥ 1.1-1)
Imports: methods, gsl
Published: 2020-01-21
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) 2005-2019 Weierstrass Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/people/polzehl/
NeedsCompilation: yes
Citation: aws citation info
Materials: README
CRAN checks: aws results

Downloads:

Reference manual: aws.pdf
Package source: aws_2.4-0.tar.gz
Windows binaries: r-devel: aws_2.2-1.1.zip, r-devel-gcc8: aws_2.3-0.zip, r-release: aws_2.3-0.zip, r-oldrel: aws_2.3-0.zip
OS X binaries: r-release: aws_2.3-0.tgz, r-oldrel: aws_2.3-0.tgz
Old sources: aws archive

Reverse dependencies:

Reverse imports: fmri

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