SOPC: The Sparse Online Principal Component Estimation Algorithm

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

Version:	0.0.3
Depends:	R (≥ 3.5.0)
Imports:	elasticnet, stats
Suggests:	testthat (≥ 3.0.0)
Published:	2022-04-16
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_0.0.3.tar.gz
Windows binaries:	r-devel: SOPC_0.0.3.zip, r-release: SOPC_0.0.3.zip, r-oldrel: SOPC_0.0.3.zip
macOS binaries:	r-release (arm64): SOPC_0.0.3.tgz, r-oldrel (arm64): SOPC_0.0.3.tgz, r-release (x86_64): SOPC_0.0.3.tgz, r-oldrel (x86_64): SOPC_0.0.3.tgz
Old sources:	SOPC archive

Linking:

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