OPCreg: Online Principal Component Regression for Online Datasets
The online principal component regression method can process the online data set. 'OPCreg' implements the online principal component regression method, which is specifically designed to process online datasets efficiently. This method is particularly useful for handling large-scale, streaming data where traditional batch processing methods may be computationally infeasible.The philosophy of the package is described in 'Guo' (2025) <doi:10.1016/j.physa.2024.130308>.
| Version: | 3.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MASS, stats, Matrix |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-06-04 |
| DOI: | 10.32614/CRAN.package.OPCreg |
| Author: | Guangbao Guo 
[aut, cre],
Chunjie Wei [aut] |
| Maintainer: | Guangbao Guo <ggb11111111 at 163.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | OPCreg results |
Documentation:
| Reference manual: | OPCreg.html , OPCreg.pdf |
Downloads:
| Package source: | OPCreg_3.0.0.tar.gz |
| Windows binaries: | r-devel: OPCreg_3.0.0.zip, r-release: OPCreg_3.0.0.zip, r-oldrel: OPCreg_3.0.0.zip |
| macOS binaries: | r-release (arm64): OPCreg_3.0.0.tgz, r-oldrel (arm64): OPCreg_3.0.0.tgz, r-release (x86_64): OPCreg_3.0.0.tgz, r-oldrel (x86_64): OPCreg_3.0.0.tgz |
| Old sources: | OPCreg archive |
Linking:
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