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. (2022) <doi:10.1007/s00180-022-01270-z>.
Version: 0.1.0 Depends: R (≥ 4.1.0) Imports: elasticnet, magrittr, stats Suggests: testthat (≥ 3.0.0) Published: 2023-05-07 DOI: 10.32614/CRAN.package.SOPC 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.html , SOPC.pdf Downloads: Package source: SOPC_0.1.0.tar.gz Windows binaries: r-devel: SOPC_0.1.0.zip, r-release: SOPC_0.1.0.zip, r-oldrel: SOPC_0.1.0.zip macOS binaries: r-release (arm64): SOPC_0.1.0.tgz, r-oldrel (arm64): SOPC_0.1.0.tgz, r-release (x86_64): SOPC_0.1.0.tgz, r-oldrel (x86_64): SOPC_0.1.0.tgz Old sources: SOPC archive Reverse dependencies: Reverse imports: LFM, SFM, TFM Linking:Please use the canonical form https://CRAN.R-project.org/package=SOPC to link to this page.
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