Package: smoothic 1.2.0

smoothic: Variable Selection Using a Smooth Information Criterion

Implementation of the SIC epsilon-telescope method, either using single or distributional (multiparameter) regression. Includes classical regression with normally distributed errors and robust regression, where the errors are from the Laplace distribution. The "smooth generalized normal distribution" is used, where the estimation of an additional shape parameter allows the user to move smoothly between both types of regression. See O'Neill and Burke (2022) "Robust Distributional Regression with Automatic Variable Selection" for more details. <arxiv:2212.07317>. This package also contains the data analyses from O'Neill and Burke (2023). "Variable selection using a smooth information criterion for distributional regression models". <doi:10.1007/s11222-023-10204-8>.

Authors:Meadhbh O'Neill [aut, cre], Kevin Burke [aut]

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NEWS

# Install 'smoothic' in R:
install.packages('smoothic', repos = c('https://meadhbh-oneill.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/meadhbh-oneill/smoothic/issues

Datasets:

On CRAN:

3.70 score 1 stars 3 scripts 326 downloads 3 exports 56 dependencies

Last updated 2 years agofrom:1b831dc2ca. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 16 2025
R-4.5-winNOTEFeb 16 2025
R-4.5-macNOTEFeb 16 2025
R-4.5-linuxNOTEFeb 16 2025
R-4.4-winOKFeb 16 2025
R-4.4-macOKFeb 16 2025
R-4.3-winOKFeb 16 2025
R-4.3-macOKFeb 16 2025

Exports:plot_effectsplot_pathssmoothic

Dependencies:briocallrclicolorspacecpp11crayondata.tabledescdiffobjdigestdplyrevaluatefansifarverfsgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6RColorBrewerrlangrprojrootscalesstringistringrtestthattibbletidyrtidyselecttoOrdinalutf8vctrsviridisLitewaldowithr

Smooth Generalized Normal Distribution

Rendered fromsgnd-boston.Rmdusingknitr::rmarkdownon Feb 16 2025.

Last update: 2023-07-31
Started: 2022-11-17