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

5 exports 126 stars 9.14 score 2 dependencies 279 dependents 16 mentions 1.4k scripts 34.2k downloads

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

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-win-x86_64NOTESep 12 2024
R-4.5-linux-x86_64NOTESep 12 2024
R-4.4-win-x86_64NOTESep 12 2024
R-4.4-mac-x86_64NOTESep 12 2024
R-4.4-mac-aarch64NOTESep 12 2024
R-4.3-win-x86_64OKSep 12 2024
R-4.3-mac-x86_64OKSep 12 2024
R-4.3-mac-aarch64ERRORSep 12 2024

Exports:irlbapartial_eigenprcomp_irlbassvdsvdr

Dependencies:latticeMatrix

irlba Manual

Rendered fromirlba.Rnwusingutils::Sweaveon Sep 12 2024.

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