SelectBoost.quantile: 'SelectBoost'-Style Variable Selection for Quantile Regression

A 'SelectBoost'-inspired workflow for sparse quantile regression. The package builds correlation neighborhoods, perturbs correlated predictors with a directional sampler inspired by the original 'SelectBoost' internals, refits penalized quantile regression models on the perturbed designs, and aggregates variable-selection frequencies across a path of correlation thresholds.

Version: 0.3.1
Imports: graphics, movMF, quantreg, stats, utils, withr
Suggests: knitr, pkgload, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-04-13
DOI: 10.32614/CRAN.package.SelectBoost.quantile (may not be active yet)
Author: Frederic Bertrand ORCID iD [cre, aut]
Maintainer: Frederic Bertrand <frederic.bertrand at lecnam.net>
BugReports: https://github.com/fbertran/SelectBoost.quantile/issues
License: GPL-3
URL: https://fbertran.github.io/SelectBoost.quantile/, https://github.com/fbertran/SelectBoost.quantile
NeedsCompilation: no
Citation: SelectBoost.quantile citation info
Materials: NEWS
CRAN checks: SelectBoost.quantile results

Documentation:

Reference manual: SelectBoost.quantile.html , SelectBoost.quantile.pdf
Vignettes: Getting Started (source, R code)
Validation Study (source, R code)

Downloads:

Package source: SelectBoost.quantile_0.3.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): SelectBoost.quantile_0.3.1.tgz, r-oldrel (x86_64): SelectBoost.quantile_0.3.1.tgz

Linking:

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