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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS

openblas

10.89 score 4 stars 283 packages 1.5k scripts 30k downloads 16 mentions 5 exports 2 dependencies

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

TargetResultLatest binary
Doc / VignettesOKJan 20 2025
R-4.5-linux-x86_64NOTEJan 20 2025

Exports:irlbapartial_eigenprcomp_irlbassvdsvdr

Dependencies:latticeMatrix

irlba Manual

Rendered fromirlba.Rnwusingutils::Sweaveon Jan 20 2025.

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