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irlba: Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices

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

Documentation:

Reference manual: irlba.pdf
Vignettes: irlba Manual

Downloads:

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 dependencies:

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, 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, Rssa, Rtsne, sctransform, SpatialDDLS, steadyICA, wateRmelon, widyr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=irlba to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.