Package: aws
Version: 2.4-1
Date: 2020-02-18
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 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>.
License: GPL (>= 2)
Copyright: This package is Copyright (C) 2005-2020 Weierstrass
        Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/people/polzehl/
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2020-02-18 16:06:46 UTC; polzehl
Repository: CRAN
Date/Publication: 2020-02-19 15:40:02 UTC
Built: R 3.6.2; x86_64-w64-mingw32; 2020-02-19 17:09:00 UTC; windows
Archs: x64
