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)COR_0.2.0.zip(r-4.6)COR_0.2.0.zip(r-4.5)
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
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 442 downloads 35 mentions 9 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK150
linux-release-x86_64OK140
macos-release-arm64OK88
macos-oldrel-arm64OK78
windows-develOK67
windows-releaseOK52
windows-oldrelOK62
wasm-releaseOK78

Exports:beta_ADbeta_corbeta_LWCORLICbetaLICnewMSEbetaMSEcomMSEver

Dependencies: