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)LIC_0.0.2.zip(r-4.6)LIC_0.0.2.zip(r-4.5)
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
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 203 downloads 5 mentions 5 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK144
linux-release-x86_64OK98
macos-release-arm64OK91
macos-oldrel-arm64OK101
windows-develOK67
windows-releaseOK58
windows-oldrelOK62
wasm-releaseOK89

Exports:LICOpt1Opt2OSAOSM

Dependencies: