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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 |
| Reference manual: | LLIC.pdf |
| 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 |
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