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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 28 days agofrom:7d6409470a. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 28 2024 |
| R-4.5-linux | OK | Nov 28 2024 |
Dependencies:clicolorspacedplyrfansifarverFuzzyNumbersFuzzyNumbers.Ext.2genericsggplot2gluegtableisobandlabelingLaplacesDemonlatticelifecyclemagrittrMASSMatrixmatrixcalcmgcvmunsellnlmepillarpkgconfigR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrellipticalrlangRyacas0scalessettingstibbletidyselectutf8vctrsVGAMviridisLitewithrxml2
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Data Processing for LLIC Analysis | data_pc |
| LLIC for Lre Model | LLIC |
| advanced_plotting_LLIC for LLIC | plot_LLIC |
