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'))

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

pcaprincipal-component-analysissingular-value-decompositionsparse-principal-componentssvd

13.80 score 127 stars 286 packages 1.4k scripts 40k downloads 16 mentions 5 exports 2 dependencies

Last updated 2 years agofrom:bb71306fc3. Checks:OK: 3 NOTE: 5 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-win-x86_64NOTENov 11 2024
R-4.5-linux-x86_64NOTENov 11 2024
R-4.4-win-x86_64NOTENov 11 2024
R-4.4-mac-x86_64NOTENov 11 2024
R-4.4-mac-aarch64NOTENov 11 2024
R-4.3-win-x86_64OKNov 11 2024
R-4.3-mac-x86_64OKNov 11 2024
R-4.3-mac-aarch64ERRORNov 11 2024

Exports:irlbapartial_eigenprcomp_irlbassvdsvdr

Dependencies:latticeMatrix

irlba Manual

Rendered fromirlba.Rnwusingutils::Sweaveon Nov 11 2024.

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