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
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 198 downloads 5 mentions 5 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK163
linux-release-x86_64OK99
macos-release-arm64OK71
macos-oldrel-arm64OK87
windows-develOK77
windows-releaseOK58
windows-oldrelOK2894
wasm-releaseOK83

Exports:LICOpt1Opt2OSAOSM

Dependencies: