aws: Adaptive Weights Smoothing

The library contains R-functions to perform the adaptive weights smoothing (AWS) procedure described in Polzehl und Spokoiny (2000), Adaptive weights smoothing with applications to image restoration. Journal of the Royal Statistical Society, Ser. B, 62, 2, 335--354 and its generalizations to local polynomial models as described in Polzehl und Spokoiny (2003), Varying coefficient regression modeling by adaptive weights smoothing, WIAS-Preprint 818 and to local likelihood models as described in Polzehl und Spokoiny (2002). Local likelihood modelling by adaptive weights smoothing, WIAS-Preprint 787. The functions awsuni, awsbi and awstri are superseded by functions aws and laws and will be removed in later versions.

Version: 1.3-3.1
Date: 2007-06-28
Author: Joerg Polzehl
Maintainer: Joerg Polzehl <polzehl at wias-berlin.de>
License: GPL version 2 or newer This library is Copyright (C) 2002-2007 Weierstrass Institute for Applied Analysis and Stochastics.
URL: http://wias-berlin.de/project-areas/stat/projects/adaptive-image-processing.html
CRAN checks: aws results

Downloads:

Package source: aws_1.3-3.1.tar.gz
MacOS X binary: aws_1.3-3.1.tgz
Windows binary: aws_1.3-3.1.zip
Reference manual: aws.pdf
Old sources: aws archive

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