RobRSVD: Robust Regularized Singular Value Decomposition

This package provides the function to calculate SVD, regularized SVD, robust SVD and robust regularized SVD method. The robust SVD methods use alternating iteratively reweighted least squares methods. The regularized SVD uses generalized cross validation to choose the optimal smoothing parameters.

Version: 1.0
Published: 2013-12-16
Author: Lingsong Zhang and Chao Pan
Maintainer: Lingsong Zhang <lingsong at purdue.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
In views: Robust
CRAN checks: RobRSVD results

Downloads:

Reference manual: RobRSVD.pdf
Package source: RobRSVD_1.0.tar.gz
Windows binaries: r-devel: RobRSVD_1.0.zip, r-release: RobRSVD_1.0.zip, r-oldrel: RobRSVD_1.0.zip
OS X Snow Leopard binaries: r-release: RobRSVD_1.0.tgz, r-oldrel: RobRSVD_1.0.tgz
OS X Mavericks binaries: r-release: RobRSVD_1.0.tgz