Package: COR 0.2.0

COR: The COR for Optimal Subset Selection in Distributed Estimation

An algorithm of optimal subset selection, related to Covariance matrices, observation matrices and Response vectors (COR) to select the optimal subsets in distributed estimation. The philosophy of the package is described in Guo G. (2024) <doi:10.1007/s11222-024-10471-z>.

Authors:Guangbao Guo [aut, cre], Haoyue Song [aut], Lixing Zhu [aut]

COR_0.2.0.tar.gz
COR_0.2.0.zip(r-4.7-any)COR_0.2.0.zip(r-4.6-any)COR_0.2.0.zip(r-4.5-any)
COR_0.2.0.tgz(r-4.6-any)COR_0.2.0.tgz(r-4.5-any)
COR_0.2.0.tar.gz(r-4.7-any)COR_0.2.0.tar.gz(r-4.6-any)
COR_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
COR/json (API)

# Install 'COR' in R:
install.packages('COR', 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.

2.11 score 13 scripts 370 downloads 35 mentions 9 exports 0 dependencies

Last updated from:9b368eea31. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
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source / vignettesOK127
linux-release-x86_64OK99
macos-release-arm64OK79
macos-oldrel-arm64OK88
windows-develOK60
windows-releaseOK66
windows-oldrelOK59
wasm-releaseOK98

Exports:beta_ADbeta_corbeta_LWCORLICbetaLICnewMSEbetaMSEcomMSEver

Dependencies: