Package: aws
Version: 2.5-7
Date: 2026-07-13
Title: Adaptive Weights Smoothing
Authors@R: c(person("Joerg","Polzehl",role=c("aut","cre"),email="joerg.polzehl@wias-berlin.de"),person("Felix","Anker",role=c("ctb")))
Author: Joerg Polzehl [aut, cre], Felix Anker [ctb]
Maintainer: Joerg Polzehl <joerg.polzehl@wias-berlin.de>
Depends: R (>= 3.4.0), awsMethods (>= 1.1-1)
Imports: methods, gsl
Description: 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>.
License: 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/
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2026-07-13 20:38:34 UTC; root
Config/pak/sysreqs: libgsl0-dev
Repository: https://jpolzehl.r-universe.dev
Date/Publication: 2026-07-13 17:30:02 UTC
RemoteUrl: https://github.com/cran/aws
RemoteRef: HEAD
RemoteSha: c117fde7914e21f0e5ae79cae38503ce6e79930d