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 240 downloads 5 mentions 5 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK94
source / vignettesOK163
linux-releaseOK134
macos-releaseOK99
macos-oldrelOK83
windows-develOK70
windows-releaseOK69
windows-oldrelOK66
wasm-releaseOK67

Exports:LICOpt1Opt2OSAOSM

Dependencies: