Package: irlba 2.3.7

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_2.3.7.tar.gz
irlba_2.3.7.tar.gz(r-4.7-arm64)irlba_2.3.7.tar.gz(r-4.7-x86_64)irlba_2.3.7.tar.gz(r-4.6-arm64)irlba_2.3.7.tar.gz(r-4.6-x86_64)
irlba_2.3.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
irlba/json (API)

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

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

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

openblas

11.48 score 4 stars 359 packages 1.8k scripts 78k downloads 16 mentions 5 exports 2 dependencies

Last updated from:46a5aded2d. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK120
linux-devel-x86_64OK122
source / vignettesOK152
linux-release-arm64OK137
linux-release-x86_64OK116
wasm-releaseOK102

Exports:irlbapartial_eigenprcomp_irlbassvdsvdr

Dependencies:latticeMatrix

irlba Manual

Rendered fromirlba.Rnwusingutils::Sweaveon Jun 01 2026.

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