Package: irlba 2.3.5.1

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.

Authors:Jim Baglama [aut, cph], Lothar Reichel [aut, cph], B. W. Lewis [aut, cre, cph]

irlba_2.3.5.1.tar.gz
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irlba_2.3.5.1.tgz(r-4.4-x86_64)irlba_2.3.5.1.tgz(r-4.4-arm64)irlba_2.3.5.1.tgz(r-4.3-x86_64)irlba_2.3.5.1.tgz(r-4.3-arm64)
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irlba.pdf |irlba.html✨
irlba/json (API)

# Install 'irlba' in R:
install.packages('irlba', repos = c('https://bwlewis.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/bwlewis/irlba/issues

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

pcaprincipal-component-analysissingular-value-decompositionsparse-principal-componentssvdopenblas

13.71 score 128 stars 282 packages 1.5k scripts 31k downloads 16 mentions 5 exports 2 dependencies

Last updated 2 years agofrom:bb71306fc3. Checks:3 OK, 5 NOTE, 1 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 10 2025
R-4.5-win-x86_64NOTEJan 10 2025
R-4.5-linux-x86_64NOTEJan 10 2025
R-4.4-win-x86_64NOTEJan 10 2025
R-4.4-mac-x86_64NOTEJan 10 2025
R-4.4-mac-aarch64NOTEJan 10 2025
R-4.3-win-x86_64OKJan 10 2025
R-4.3-mac-x86_64OKJan 10 2025
R-4.3-mac-aarch64ERRORJan 10 2025

Exports:irlbapartial_eigenprcomp_irlbassvdsvdr

Dependencies:latticeMatrix

irlba Manual

Rendered fromirlba.Rnwusingutils::Sweaveon Jan 10 2025.

Last update: 2017-10-05
Started: 2015-08-01