Package: LLIC
Title: Likelihood Criterion (LIC) Analysis for Laplace Regression Model
Version: 3.0.0
Date: 2024-11-23
Authors@R: 
    c(person("Guangbao", "Guo", role = c("aut", "cre"),
         email = "ggb11111111@163.com"),
      person("Yaxuan", "Wang", role = "aut"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: stats, VGAM, dplyr, LaplacesDemon, relliptical, ggplot2, rlang
NeedsCompilation: no
Packaged: 2024-11-23 10:48:14 UTC; Lenovo
Author: Guangbao Guo [aut, cre],
  Yaxuan Wang [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-11-28 12:00:02 UTC
Built: R 4.5.2; ; 2025-11-08 04:03:50 UTC; windows
