Introduction | Partial Singular Value Decomposition | A Quick Summary of the IRLBA Method
Package: irlba 2.3.7
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:
irlba_2.3.7.tar.gz
irlba_2.3.7.zip(r-4.7)irlba_2.3.7.zip(r-4.6)irlba_2.3.7.zip(r-4.5)
irlba_2.3.7.tgz(r-4.6-x86_64)irlba_2.3.7.tgz(r-4.6-arm64)irlba_2.3.7.tgz(r-4.5-x86_64)irlba_2.3.7.tgz(r-4.5-arm64)
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✨
DESCRIPTION
card.svg |card.png
irlba/json (API)
| # Install 'irlba' in R: |
| install.packages('irlba', repos = c('https://bwlewis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bwlewis/irlba/issues
pcaprincipal-component-analysissingular-value-decompositionsparse-principal-componentssvdopenblas
Last updated from:d22475deff. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 124 | ||
| linux-devel-x86_64 | OK | 131 | ||
| source / vignettes | OK | 207 | ||
| linux-release-arm64 | OK | 123 | ||
| linux-release-x86_64 | OK | 173 | ||
| macos-release-arm64 | OK | 179 | ||
| macos-release-x86_64 | OK | 268 | ||
| macos-oldrel-arm64 | OK | 138 | ||
| macos-oldrel-x86_64 | OK | 240 | ||
| windows-devel | OK | 92 | ||
| windows-release | OK | 86 | ||
| windows-oldrel | OK | 91 | ||
| wasm-release | OK | 87 |
