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. (2020) <doi:10.1007/s00180-020-00974-4>.

Version: 0.0.1
Depends: R (≥ 3.5.0)
Imports: stats
Suggests: testthat (≥ 3.0.0)
Published: 2021-10-08
Author: Guangbao Guo [aut, cre], Yue Sun [aut], Guoqi Qian [aut], Qian Wang [aut]
Maintainer: Guangbao Guo <ggb11111111 at 163.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: LIC results

Documentation:

Reference manual: LIC.pdf

Downloads:

Package source: LIC_0.0.1.tar.gz
Windows binaries: r-devel: LIC_0.0.1.zip, r-release: LIC_0.0.1.zip, r-oldrel: LIC_0.0.1.zip
macOS binaries: r-release (arm64): LIC_0.0.1.tgz, r-release (x86_64): LIC_0.0.1.tgz, r-oldrel: LIC_0.0.1.tgz

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