Package: pcaone 2.0.0

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_2.0.0.tar.gz
pcaone_2.0.0.zip(r-4.5)pcaone_2.0.0.zip(r-4.4)pcaone_2.0.0.zip(r-4.3)
pcaone_2.0.0.tgz(r-4.5-x86_64)pcaone_2.0.0.tgz(r-4.5-arm64)pcaone_2.0.0.tgz(r-4.4-x86_64)pcaone_2.0.0.tgz(r-4.4-arm64)pcaone_2.0.0.tgz(r-4.3-x86_64)pcaone_2.0.0.tgz(r-4.3-arm64)
pcaone_2.0.0.tar.gz(r-4.5-noble)pcaone_2.0.0.tar.gz(r-4.4-noble)
pcaone_2.0.0.tgz(r-4.4-emscripten)pcaone_2.0.0.tgz(r-4.3-emscripten)
pcaone.pdf |pcaone.html✨
pcaone/json (API)
NEWS

# 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
Datasets:
  • popgen - Population genetic data

On CRAN:

Conda:

matrix-factorizationpcarcppeigenrsvdsvdopenblascpp

4.00 score 4 stars 6 scripts 190 downloads 1 exports 2 dependencies

Last updated 12 hours agofrom:01c77930d2. Checks:1 OK, 11 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-win-x86_64NOTEMar 12 2025
R-4.5-mac-x86_64NOTEMar 12 2025
R-4.5-mac-aarch64NOTEMar 12 2025
R-4.5-linux-x86_64NOTEMar 12 2025
R-4.4-win-x86_64NOTEMar 12 2025
R-4.4-mac-x86_64NOTEMar 12 2025
R-4.4-mac-aarch64NOTEMar 12 2025
R-4.4-linux-x86_64NOTEMar 12 2025
R-4.3-win-x86_64NOTEMar 12 2025
R-4.3-mac-x86_64NOTEMar 12 2025
R-4.3-mac-aarch64NOTEMar 12 2025

Exports:pcaone

Dependencies:RcppRcppEigen