Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.
Version: | 2.3.5.1 |
Depends: | R (≥ 3.6.2), Matrix |
Imports: | stats, methods |
LinkingTo: | Matrix |
Published: | 2022-10-03 |
DOI: | 10.32614/CRAN.package.irlba |
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_2.3.5.1.tar.gz |
Windows binaries: | r-devel: irlba_2.3.5.1.zip, r-release: irlba_2.3.5.1.zip, r-oldrel: irlba_2.3.5.1.zip |
macOS binaries: | r-release (arm64): irlba_2.3.5.1.tgz, r-oldrel (arm64): irlba_2.3.5.1.tgz, r-release (x86_64): irlba_2.3.5.1.tgz, r-oldrel (x86_64): irlba_2.3.5.1.tgz |
Old sources: | irlba archive |
Reverse depends: | CMGFM, COAP, DDRTree, MMGFM, MultiCOAP, s4vd, SpaCOAP |
Reverse imports: | absorber, Banksy, bdsvd, BiocSingular, CAESAR.Suite, Canek, Cardinal, ccfindR, ccImpute, CelliD, ChromSCape, ClustAssess, cola, conos, corral, DelayedTensor, denoiseR, densvis, destiny, DR.SC, dreamlet, dyndimred, ENmix, epca, ERP, fastTopics, FEAST, flashier, fuser, gdim, GeneNMF, GenomicSuperSignature, GFM, GoodFitSBM, guidedPLS, HCD, hierBipartite, HIPPO, HMC, iasva, iGraphMatch, iSFun, jackstraw, jrSiCKLSNMF, KnockoffScreen, lemur, lmds, lolR, LSX, M3Drop, matter, MFPCA, miloR, mixedCCA, mixsqp, monocle, multivarious, NewWave, OmicKriging, pagoda2, penAFT, PINSPlus, ProFAST, RaceID, randnet, recommenderlab, sccore, scDesign3, scISR, SCORPION, seqgendiff, Seurat, Signac, snifter, spant, sparrow, SPUTNIK, SuperCell, symphony, uwot |
Reverse suggests: | broom, ChemoSpec, ChemoSpec2D, ChemoSpecUtils, DrImpute, embed, metR, MOCHA, MOSS, Rssa, Rtsne, sctransform, SpatialDDLS, steadyICA, wateRmelon, widyr |
Please use the canonical form https://CRAN.R-project.org/package=irlba to link to this page.