Performs likelihood criterion analysis using the Laplace regression model to determine its optimal subset of variables. The methodology is based on Guo et al. (2023), LIC criterion for optimal subset selection in distributed interval estimation <doi:10.1080/02331888.2020.1823979>.
Version: 3.0.0 Depends: R (≥ 3.5.0) Imports: stats, VGAM, dplyr, LaplacesDemon, relliptical, ggplot2, rlang Published: 2024-11-28 DOI: 10.32614/CRAN.package.LLIC Author: Guangbao Guo [aut, cre], Yaxuan Wang [aut] Maintainer: Guangbao Guo <ggb11111111 at 163.com> License: MIT + file LICENSE NeedsCompilation: no CRAN checks: LLIC results Documentation: Reference manual: LLIC.pdf Downloads: Package source: LLIC_3.0.0.tar.gz Windows binaries: r-devel: LLIC_3.0.0.zip, r-release: LLIC_3.0.0.zip, r-oldrel: LLIC_3.0.0.zip macOS binaries: r-release (arm64): LLIC_3.0.0.tgz, r-oldrel (arm64): LLIC_3.0.0.tgz, r-release (x86_64): LLIC_3.0.0.tgz, r-oldrel (x86_64): LLIC_3.0.0.tgz Linking:Please use the canonical form https://CRAN.R-project.org/package=LLIC to link to this page.
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