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DLPCA: The Distributed Local PCA Algorithm

Algorithm to handle with optimal subset selection for distributed local principal component analysis. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.

Version: 0.0.5
Depends: R (≥ 3.5.0)
Suggests: testthat (≥ 3.0.0)
Published: 2022-08-07
DOI: 10.32614/CRAN.package.DLPCA
Author: Guangbao Guo ORCID iD [aut, cre], Guoqi Qian [aut], Yixiao Liu [aut], Haoyue Song [aut]
Maintainer: Guangbao Guo <ggb11111111 at 163.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: DLPCA results

Documentation:

Reference manual: DLPCA.pdf

Downloads:

Package source: DLPCA_0.0.5.tar.gz
Windows binaries: r-devel: DLPCA_0.0.5.zip, r-release: DLPCA_0.0.5.zip, r-oldrel: DLPCA_0.0.5.zip
macOS binaries: r-release (arm64): DLPCA_0.0.5.tgz, r-oldrel (arm64): DLPCA_0.0.5.tgz, r-release (x86_64): DLPCA_0.0.5.tgz, r-oldrel (x86_64): DLPCA_0.0.5.tgz
Old sources: DLPCA archive

Linking:

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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.