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-4.6)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-4.6-any)LIC_0.0.2.tar.gz(r-4.5-any)
LIC_0.0.2.tgz(r-4.5-emscripten)
LIC.pdf |LIC.html
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 173 downloads 5 mentions 5 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK157
linux-release-x86_64OK106
macos-devel-arm64OK124
macos-release-arm64OK165
windows-develOK64
windows-releaseOK66
windows-oldrelOK57
wasm-releaseOK85

Exports:LICOpt1Opt2OSAOSM

Dependencies: