SOPC: The Sparse Online Principal Component Estimation Algorithm (original) (raw)
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 |
| NeedsCompilation: | no |
| CRAN checks: | SOPC results |
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