Package: OPCreg 3.0.0

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:Guangbao Guo [aut, cre], Chunjie Wei [aut]

OPCreg_3.0.0.tar.gz
OPCreg_3.0.0.zip(r-4.7)OPCreg_3.0.0.zip(r-4.6)OPCreg_3.0.0.zip(r-4.5)
OPCreg_3.0.0.tgz(r-4.6-any)OPCreg_3.0.0.tgz(r-4.5-any)
OPCreg_3.0.0.tar.gz(r-4.7-any)OPCreg_3.0.0.tar.gz(r-4.6-any)
OPCreg_3.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
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'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 511 downloads 8 exports 3 dependencies

Last updated from:2e24af0689. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK124
source / vignettesOK137
linux-release-x86_64OK119
macos-release-arm64OK149
macos-oldrel-arm64OK107
windows-develOK82
windows-releaseOK92
windows-oldrelOK83
wasm-releaseOK91

Exports:IPCIPCRPCRPPCPPCRSAPCSPCRspcrl

Dependencies:latticeMASSMatrix