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.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'))

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

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

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

13.85 score 128 stars 293 packages 1.5k scripts 41k downloads 16 mentions 5 exports 2 dependencies

Last updated 2 years agofrom:bb71306fc3. Checks:3 OK, 8 NOTE, 1 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-win-x86_64NOTEMar 11 2025
R-4.5-mac-x86_64NOTEMar 11 2025
R-4.5-mac-aarch64NOTEMar 11 2025
R-4.5-linux-x86_64NOTEMar 11 2025
R-4.4-win-x86_64NOTEMar 11 2025
R-4.4-mac-x86_64NOTEMar 11 2025
R-4.4-mac-aarch64NOTEMar 11 2025
R-4.4-linux-x86_64NOTEMar 11 2025
R-4.3-win-x86_64OKMar 11 2025
R-4.3-mac-x86_64OKMar 11 2025
R-4.3-mac-aarch64ERRORMar 11 2025

Exports:irlbapartial_eigenprcomp_irlbassvdsvdr

Dependencies:latticeMatrix

irlba Manual

Rendered fromirlba.Rnwusingutils::Sweaveon Mar 11 2025.

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