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 421 downloads 35 mentions 9 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK90
source / vignettesOK120
linux-releaseOK93
macos-releaseOK87
macos-oldrelOK72
windows-develOK62
windows-releaseOK60
windows-oldrelOK61
wasm-releaseOK71

Exports:beta_ADbeta_corbeta_LWCORLICbetaLICnewMSEbetaMSEcomMSEver

Dependencies: