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

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'))
Datasets:

On CRAN:

Conda:

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

1.00 score 241 downloads 10 exports 3 dependencies

Last updated from:d54877ec73. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK117
source / vignettesOK169
linux-releaseOK112
macos-releaseOK141
macos-oldrelOK93
windows-develOK85
windows-releaseOK75
windows-oldrelOK70
wasm-releaseOK91

Exports:IPCIPCRLRLSPCRPPCPPCRSAPCSPCRspcrlTRLS

Dependencies:latticeMASSMatrix