Package: LIC 0.0.2

LIC: The LIC Criterion for Optimal Subset Selection

The LIC criterion is to determine the most informative subsets so that the subset can retain most of the information contained in the complete data. The philosophy of the package is described in Guo G. (2022) <doi:10.1080/02664763.2022.2053949>.

Authors:Guangbao Guo [aut, cre], Yue Sun [aut], Guoqi Qian [aut], Qian Wang [aut]

LIC_0.0.2.tar.gz
LIC_0.0.2.zip(r-4.7-any)LIC_0.0.2.zip(r-4.6-any)LIC_0.0.2.zip(r-4.5-any)
LIC_0.0.2.tgz(r-4.6-any)LIC_0.0.2.tgz(r-4.5-any)
LIC_0.0.2.tar.gz(r-4.7-any)LIC_0.0.2.tar.gz(r-4.6-any)
LIC_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
LIC/json (API)

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

1.70 score 1 scripts 232 downloads 5 mentions 5 exports 0 dependencies

Last updated from:44972f592c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK147
linux-release-x86_64OK126
macos-release-arm64OK72
macos-oldrel-arm64OK90
windows-develOK57
windows-releaseOK79
windows-oldrelOK70
wasm-releaseOK84

Exports:LICOpt1Opt2OSAOSM

Dependencies: