Package: pcaone 1.5.0

pcaone: Fast and Accurate Randomized Singular Value Decomposition Algorithms with 'PCAone'

Fast and Accurate Randomized Singular Value Decomposition (RSVD) methods proposed in the 'PCAone' paper by Li (2023) <https://genome.cshlp.org/content/33/9/1599>.

Authors:Zilong Li [aut, cre]

pcaone_1.5.0.tar.gz
pcaone_1.5.0.zip(r-4.7)pcaone_1.5.0.zip(r-4.6)pcaone_1.5.0.zip(r-4.5)
pcaone_1.5.0.tgz(r-4.6-x86_64)pcaone_1.5.0.tgz(r-4.6-arm64)pcaone_1.5.0.tgz(r-4.5-x86_64)pcaone_1.5.0.tgz(r-4.5-arm64)
pcaone_1.5.0.tar.gz(r-4.7-arm64)pcaone_1.5.0.tar.gz(r-4.7-x86_64)pcaone_1.5.0.tar.gz(r-4.6-arm64)pcaone_1.5.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pcaone/json (API)

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

Bug tracker:https://github.com/zilong-li/pcaoner/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

matrix-factorizationpcarcppeigenrsvdsvdopenblascpp

3.78 score 6 stars 20 scripts 283 downloads 3 exports 4 dependencies

Last updated from:e6df624834. Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK180
linux-devel-x86_64OK176
source / vignettesOK207
linux-release-arm64OK198
linux-release-x86_64OK163
macos-release-arm64OK158
macos-release-x86_64OK464
macos-oldrel-arm64OK217
macos-oldrel-x86_64OK616
windows-develOK207
windows-releaseOK207
windows-oldrelOK220
wasm-releaseFAIL122

Exports:dashSVDpcaonewinSVD

Dependencies:latticeMatrixRcppRcppEigen