Package: OPCreg 4.0.2
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>.
Authors:
OPCreg_4.0.2.tar.gz
OPCreg_4.0.2.zip(r-4.7-any)OPCreg_4.0.2.zip(r-4.6-any)OPCreg_4.0.2.zip(r-4.5-any)
OPCreg_4.0.2.tgz(r-4.6-any)OPCreg_4.0.2.tgz(r-4.5-any)
OPCreg_4.0.2.tar.gz(r-4.7-any)OPCreg_4.0.2.tar.gz(r-4.6-any)
OPCreg_4.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
OPCreg/json (API)
| # Install 'OPCreg' in R: |
| install.packages('OPCreg', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org')) |
- concrete - Concrete Slump Test Data
- protein - Protein Secondary Structure Data
- yacht_hydrodynamics - Yacht Hydrodynamics Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d54877ec73. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 112 | ||
| source / vignettes | OK | 248 | ||
| linux-release | OK | 135 | ||
| macos-release | OK | 107 | ||
| macos-oldrel | OK | 100 | ||
| windows-devel | OK | 186 | ||
| windows-release | OK | 178 | ||
| windows-oldrel | OK | 137 | ||
| wasm-release | OK | 91 |
