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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SelectBoost.quantile" in publications use:'
type: software
license: GPL-3.0-only
title: 'SelectBoost.quantile: ''SelectBoost''-Style Variable Selection for Quantile
  Regression'
version: 0.3.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.SelectBoost.quantile
abstract: 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.
authors:
- family-names: Bertrand
  given-names: Frederic
  email: frederic.bertrand@lecnam.net
  orcid: https://orcid.org/0000-0002-0837-8281
preferred-citation:
  type: manual
  title: '''SelectBoost''-Style Variable Selection for Quantile Regression'
  authors:
  - family-names: Bertrand
    given-names: Frederic
    email: frederic.bertrand@lecnam.net
    orcid: https://orcid.org/0000-0002-0837-8281
  year: '2026'
  notes: R package version 0.3.1
  url: https://CRAN.R-project.org/package=SelectBoost.quantile
repository: https://fbertran.r-universe.dev
repository-code: https://github.com/fbertran/SelectBoost.quantile
commit: d4b7b09ae31de3f10762008903edc0d2f7f1eb91
url: https://fbertran.github.io/SelectBoost.quantile/
date-released: '2026-04-07'
contact:
- family-names: Bertrand
  given-names: Frederic
  email: frederic.bertrand@lecnam.net
  orcid: https://orcid.org/0000-0002-0837-8281
references:
- type: conference-paper
  title: An Improvement for Variable Selection for Generalized Additive Models for
    Location, Shape and Scale and Quantile Regression
  authors:
  - family-names: Bertrand
    given-names: Frederic
  - family-names: Maumy
    given-names: Myriam
  year: '2024'
  collection-title: Joint Statistical Meetings (JSM) 2024, Portland, OR
  collection-type: proceedings
  institution:
    name: American Statistical Association
  notes: Conference presentation highlighting SelectBoost for GAMLSS and quantile
    regression via correlation-aware resampling.
  keywords:
  - GAMLSS
  - quantile regression
  - resampling
  - simulation
  - variable selection
  conference:
    name: Joint Statistical Meetings (JSM) 2024, Portland, OR