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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 |
| 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.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 |
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These binaries (installable software) and packages are in development.
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