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 |
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 |
macOS binaries: | r-release: RobRSVD_1.0.tgz, r-oldrel: RobRSVD_1.0.tgz |
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