Fast and memory efficient methods for truncated singular and eigenvalue decompositions and principal component analysis of large sparse or dense matrices.
| Version: | 2.0.0 |
| Depends: | Matrix |
| Imports: | stats |
| Published: | 2015-10-11 |
| Author: | Jim Baglama and Lothar Reichel |
| Maintainer: | Bryan W. Lewis <blewis at illposed.net> |
| BugReports: | https://github.com/bwlewis/irlba/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | NumericalMathematics |
| CRAN checks: | irlba results |
| Reference manual: | irlba.pdf |
| Vignettes: |
irlba Manual |
| Package source: | irlba_2.0.0.tar.gz |
| Windows binaries: | r-devel: irlba_2.0.0.zip, r-release: irlba_2.0.0.zip, r-oldrel: irlba_2.0.0.zip |
| OS X Snow Leopard binaries: | r-release: irlba_2.0.0.tgz, r-oldrel: irlba_1.0.3.tgz |
| OS X Mavericks binaries: | r-release: irlba_2.0.0.tgz |
| Old sources: | irlba archive |
| Reverse depends: | clustrd, s4vd, semisupKernelPCA |
| Reverse imports: | bigpca, gyriq, igraph, OmicKriging |
| Reverse suggests: | logisticPCA, steadyICA |