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: 0.0.2
Depends: R (≥ 3.5.0)
Published: 2022-05-18
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_0.0.2.tar.gz
Windows binaries: r-devel: DLPCA_0.0.2.zip, r-release: DLPCA_0.0.2.zip, r-oldrel: DLPCA_0.0.2.zip
macOS binaries: r-release (arm64): DLPCA_0.0.2.tgz, r-oldrel (arm64): DLPCA_0.0.2.tgz, r-release (x86_64): DLPCA_0.0.2.tgz, r-oldrel (x86_64): DLPCA_0.0.2.tgz

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