Package: irlba 2.3.5.1

B. W. Lewis

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
irlba_2.3.5.1.tar.gz(r-4.5-noble)irlba_2.3.5.1.tar.gz(r-4.4-noble)
irlba_2.3.5.1.tgz(r-4.4-emscripten)irlba_2.3.5.1.tgz(r-4.3-emscripten)
irlba.pdf |irlba.html✨
irlba/json (API)

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

Bug tracker:https://github.com/bwlewis/irlba/issues36 issues

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

openblas

10.99 score 4 stars 289 packages 1.5k scripts 38k downloads 16 mentions 5 exports 2 dependencies

Last updated 2 years agofrom:8a8b9fb127. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-linux-x86_64NOTEFeb 19 2025

Exports:irlbapartial_eigenprcomp_irlbassvdsvdr

Dependencies:latticeMatrix

irlba Manual

Rendered fromirlba.Rnwusingutils::Sweaveon Feb 19 2025.

Last update: 2017-10-18
Started: 2013-10-31

Citation

To cite package ‘irlba’ in publications use:

Baglama J, Reichel L, Lewis B (2022). irlba: Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices. R package version 2.3.5.1, https://CRAN.R-project.org/package=irlba.

Corresponding BibTeX entry: 

  @Manual{,
    title = {irlba: Fast Truncated Singular Value Decomposition and
      Principal Components Analysis for Large Dense and Sparse
      Matrices},
    author = {Jim Baglama and Lothar Reichel and B. W. Lewis},
    year = {2022},
    note = {R package version 2.3.5.1},
    url = {https://CRAN.R-project.org/package=irlba},
  }