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LLIC  

Likelihood Criterion (LIC) Analysis for Laplace Regression Model
View on CRAN: Click here


Download and install LLIC package within the R console
Install from CRAN:
install.packages("LLIC")

Install from Github:
library("remotes")
install_github("cran/LLIC")

Install by package version:
library("remotes")
install_version("LLIC", "3.0.0")



Attach the package and use:
library("LLIC")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
First Published: 2024-11-28
Latest Update: 2024-11-28
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>.
How to cite:
Guangbao Guo (2024). LLIC: Likelihood Criterion (LIC) Analysis for Laplace Regression Model. R package version 3.0.0, https://cran.r-project.org/web/packages/LLIC. Accessed 17 Feb. 2025.
Previous versions and publish date:
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