SOPC: The Sparse Online Principal Component Estimation Algorithm

The sparse online principal component can not only process the real-time updated data set and stream data set, but also obtain the sparse solution of the updated data set. The philosophy of the package is described in Guo G. (2018) <doi:10.1080/10485252.2018.1531130>.

Version: 0.0.1
Depends: R (≥ 3.5.0)
Imports: elasticnet, stats
Suggests: testthat (≥ 3.0.0)
Published: 2021-09-17
Author: Guangbao Guo [aut, cre], Chunjie Wei [aut], Guoqi Qian [aut]
Maintainer: Guangbao Guo <ggb11111111 at 163.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: SOPC results

Documentation:

Reference manual: SOPC.pdf

Downloads:

Package source: SOPC_0.0.1.tar.gz
Windows binaries: r-devel: SOPC_0.0.1.zip, r-release: SOPC_0.0.1.zip, r-oldrel: SOPC_0.0.1.zip
macOS binaries: r-release (arm64): SOPC_0.0.1.tgz, r-release (x86_64): SOPC_0.0.1.tgz, r-oldrel: SOPC_0.0.1.tgz

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