Package: LLIC 3.0.0

Guangbao Guo

LLIC: Likelihood Criterion (LIC) Analysis for Laplace Regression Model

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>.

Authors:Guangbao Guo [aut, cre], Yaxuan Wang [aut]

LLIC_3.0.0.tar.gz
LLIC_3.0.0.tar.gz(r-4.5-noble)LLIC_3.0.0.tar.gz(r-4.4-noble)
LLIC_3.0.0.tgz(r-4.4-emscripten)LLIC_3.0.0.tgz(r-4.3-emscripten)
LLIC.pdf |LLIC.html✨
LLIC/json (API)

# Install 'LLIC' in R:
install.packages('LLIC', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 143 downloads 3 exports 44 dependencies

Last updated 4 months agofrom:7d6409470a. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-linuxOKMar 28 2025
R-4.4-linuxOKMar 28 2025

Exports:data_pcLLICplot_LLIC

Dependencies:clicolorspacedplyrfansifarverFuzzyNumbersFuzzyNumbers.Ext.2genericsggplot2gluegtableisobandlabelingLaplacesDemonlatticelifecyclemagrittrMASSMatrixmatrixcalcmgcvmunsellnlmepillarpkgconfigR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrellipticalrlangRyacas0scalessettingstibbletidyselectutf8vctrsVGAMviridisLitewithrxml2

Citation

To cite package ‘LLIC’ in publications use:

Guo G, Wang Y (2024). LLIC: Likelihood Criterion (LIC) Analysis for Laplace Regression Model. R package version 3.0.0, https://CRAN.R-project.org/package=LLIC.

Corresponding BibTeX entry: 

  @Manual{,
    title = {LLIC: Likelihood Criterion (LIC) Analysis for Laplace
      Regression Model},
    author = {Guangbao Guo and Yaxuan Wang},
    year = {2024},
    note = {R package version 3.0.0},
    url = {https://CRAN.R-project.org/package=LLIC},
  }