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 | 
| Reference manual: | SOPC.html , SOPC.pdf | 
| 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 imports: | EFM, SFM, TFM | 
Please use the canonical form https://CRAN.R-project.org/package=SOPC to link to this page.