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年10月03日
Author: Jim Baglama [aut, cph], Lothar Reichel [aut, cph], B. W. Lewis [aut, cre, cph]
Maintainer: B. W. Lewis <blewis at illposed.net>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: irlba results

Documentation:

Reference manual: irlba.html , irlba.pdf
Vignettes: irlba Manual (source)

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, RMFM, SpaCOAP

Linking:

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