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

10.99 score 4 stars 284 packages 1.5k scripts 39k downloads 16 mentions 5 exports 2 dependencies

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

TargetResultDate
Doc / VignettesOKDec 21 2024
R-4.5-linux-x86_64NOTEDec 21 2024

Exports:irlbapartial_eigenprcomp_irlbassvdsvdr

Dependencies:latticeMatrix

irlba Manual

Rendered fromirlba.Rnwusingutils::Sweaveon Dec 21 2024.

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