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: 1.7-1
Depends: R (≥ 2.5.0), methods
Published: 2011-12-11
Author: Joerg Polzehl
Maintainer: Joerg Polzehl <polzehl at wias-berlin.de>
License: GPL (≥ 2)
Copyright: This package is Copyright (C) 2005-2010 Weierstrass Institute for Applied Analysis and Stochastics.
URL: http://www.wias-berlin.de/projects/matheon_a3/
CRAN checks: aws results

Downloads:

Package source: aws_1.7-1.tar.gz
MacOS X binary: aws_1.7-1.tgz
Windows binary: aws_1.7-1.zip
Reference manual: aws.pdf
Old sources: aws archive