A fast and memory-efficient method for computing a few approximate singular values and singular vectors of large matrices.
| Version: | 1.0.3 |
| Depends: | R (≥ 2.15.0) |
| Imports: | Matrix |
| Published: | 2014-01-25 |
| Author: | Jim Baglama and Lothar Reichel |
| Maintainer: | Bryan W. Lewis <blewis at illposed.net> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | NumericalMathematics |
| CRAN checks: | irlba results |
| Reference manual: | irlba.pdf |
| Vignettes: |
irlba Manual |
| Package source: | irlba_1.0.3.tar.gz |
| Windows binaries: | r-devel: irlba_1.0.3.zip, r-release: irlba_1.0.3.zip, r-oldrel: irlba_1.0.3.zip |
| OS X Snow Leopard binaries: | r-release: irlba_1.0.3.tgz, r-oldrel: irlba_1.0.3.tgz |
| OS X Mavericks binaries: | r-release: irlba_1.0.3.tgz |
| Old sources: | irlba archive |
| Reverse depends: | clustrd, semisupKernelPCA |
| Reverse imports: | bigpca, OmicKriging |