# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "LLIC" in publications use:' type: software license: MIT title: 'LLIC: Likelihood Criterion (LIC) Analysis for Laplace Regression Model' version: 3.0.0 doi: 10.32614/CRAN.package.LLIC abstract: 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 . authors: - family-names: Guo given-names: Guangbao email: ggb11111111@163.com - family-names: Wang given-names: Yaxuan repository: https://guangbaog.r-universe.dev commit: 7d6409470aaecc10c8d3faf1b24655cac65543d7 date-released: '2024-11-23' contact: - family-names: Guo given-names: Guangbao email: ggb11111111@163.com