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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

1.00 score 3 exports 44 dependencies

Last updated 28 days agofrom:7d6409470a. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linuxOKNov 28 2024

Exports:data_pcLLICplot_LLIC

Dependencies:clicolorspacedplyrfansifarverFuzzyNumbersFuzzyNumbers.Ext.2genericsggplot2gluegtableisobandlabelingLaplacesDemonlatticelifecyclemagrittrMASSMatrixmatrixcalcmgcvmunsellnlmepillarpkgconfigR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrellipticalrlangRyacas0scalessettingstibbletidyselectutf8vctrsVGAMviridisLitewithrxml2