irlba: Fast partial SVD by implicitly-restarted Lanczos bidiagonalization

A fast and memory-efficient method for computing a few approximate singular values and singular vectors of large matrices.

Version: 1.0.2
Depends: Matrix
Published: 2012-11-05
Author: Jim Baglama and Lothar Reichel
Maintainer: Bryan W. Lewis <blewis at illposed.net>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: irlba results

Downloads:

Package source: irlba_1.0.2.tar.gz
MacOS X binary: irlba_1.0.2.tgz
Windows binary: irlba_1.0.2.zip
Reference manual: irlba.pdf
Vignettes: irlba Manual
News/ChangeLog:NEWS
Old sources: irlba archive

Reverse dependencies:

Reverse depends: semisupKernelPCA