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Randomized Singular Value Decomposition (RSVD) methods proposed in the 'PCAone' paper by Li (2022) <doi:10.1101/2022.05.25.493261>, where we implement and propose two RSVD methods. One is based on Yu (2017) <doi:10.48550/arXiv.1704.07669> single pass RSVD but with power iteration scheme. The other is our new window based RSVD.
Version: | 1.0.0 |
Depends: | R (≥ 3.6.0) |
Imports: | Rcpp |
LinkingTo: | Rcpp, RcppEigen (≥ 0.3.3.3.0) |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2022-10-29 |
Author: | Zilong Li [aut, cre] |
Maintainer: | Zilong Li <zilong.dk at gmail.com> |
BugReports: | https://github.com/Zilong-Li/PCAoneR/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/Zilong-Li/PCAoneR |
NeedsCompilation: | yes |
SystemRequirements: | C++17 |
Materials: | README NEWS |
CRAN checks: | pcaone results |
Reference manual: | pcaone.pdf |
Package source: | pcaone_1.0.0.tar.gz |
Windows binaries: | r-devel: pcaone_1.0.0.zip, r-release: pcaone_1.0.0.zip, r-oldrel: pcaone_1.0.0.zip |
macOS binaries: | r-release (arm64): pcaone_1.0.0.tgz, r-oldrel (arm64): pcaone_1.0.0.tgz, r-release (x86_64): pcaone_1.0.0.tgz, r-oldrel (x86_64): pcaone_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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