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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]
All associated links for this package
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 23 Sep. 2026.
Previous versions and publish date:
3.0.0 (2024-11-28 13:00), (2026-07-09 08:08)
Other packages that cited LLIC R package
View LLIC citation profile
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Complete documentation for LLIC
Functions, R codes and Examples using the LLIC R package
Full LLIC package functions and examples
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