Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.
| Version: | 2.3.3 |
| Depends: | Matrix |
| Imports: | stats, methods |
| LinkingTo: | Matrix |
| Published: | 2019-02-05 |
| Author: | Jim Baglama [aut, cph], Lothar Reichel [aut, cph], B. W. Lewis [aut, cre, cph] |
| Maintainer: | B. W. Lewis <blewis at illposed.net> |
| BugReports: | https://github.com/bwlewis/irlba/issues |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README |
| In views: | NumericalMathematics |
| CRAN checks: | irlba results |
| Reference manual: | irlba.pdf |
| Vignettes: |
irlba Manual |
| Package source: | irlba_2.3.3.tar.gz |
| Windows binaries: | r-devel: irlba_2.3.3.zip, r-release: irlba_2.3.3.zip, r-oldrel: irlba_2.3.3.zip |
| OS X binaries: | r-release: irlba_2.3.3.tgz, r-oldrel: irlba_2.3.3.tgz |
| Old sources: | irlba archive |
| Reverse depends: | DDRTree, s4vd |
| Reverse imports: | denoiseR, ERP, fuser, gyriq, jackstraw, lolR, MFPCA, OmicKriging, RaceID, randnet, recommenderlab, Seurat, text2vec, uwot |
| Reverse suggests: | broom, DrImpute, metR, Rtsne, sctransform, steadyICA, widyr |
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