aws: Adaptive Weights Smoothing

The package contains R-functions implementing the Propagation-Separation Approach to adaptive smoothing as described in J. Polzehl and V. Spokoiny (2006), Propagation-Separation Approach for Local Likelihood Estimation, Prob. Theory and Rel. Fields, 135(3):335–362. and J. Polzehl and V. Spokoiny (2004) Spatially adaptive regression estimation: Propagation-separation approach, WIAS-Preprint 998.

Version: 1.9-4
Depends: R (≥ 2.14.0), methods, awsMethods (≥ 1.0-1), gsl
Published: 2014-03-05
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) 2005-2014 Weierstrass Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/projects/matheon_a3/
NeedsCompilation: yes
Citation: aws citation info
Materials: README
CRAN checks: aws results

Downloads:

Reference manual: aws.pdf
Package source: aws_1.9-4.tar.gz
MacOS X binary: aws_1.9-4.tgz
Windows binary: aws_1.9-4.zip
Old sources: aws archive