# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "SelectBoost.gamlss" in publications use:'
type: software
license: GPL-3.0-only
title: 'SelectBoost.gamlss: Stability-Selection via Correlated Resampling for ''GAMLSS''
  Models'
version: 0.2.2
doi: 10.32614/CRAN.package.SelectBoost.gamlss
identifiers:
- type: doi
  value: 10.32614/CRAN.package.SelectBoost.gamlss
abstract: Extends the 'SelectBoost' approach to Generalized Additive Models for Location,
  Scale and Shape (GAMLSS). Implements bootstrap stability-selection across parameter-specific
  formulas (mu, sigma, nu, tau) via gamlss::stepGAIC(). Includes optional standardization
  of predictors and helper functions for corrected AIC calculation. More details can
  be found in Bertrand and Maumy (2024) <https://hal.science/hal-05352041> that highlights
  correlation-aware resampling to improve variable selection for GAMLSS and quantile
  regression when predictors are numerous and highly correlated.
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: Stability-Selection via Correlated Resampling for 'GAMLSS' Models
  authors:
  - family-names: Bertrand
    given-names: Frederic
    email: frederic.bertrand@lecnam.net
    orcid: https://orcid.org/0000-0002-0837-8281
  year: '2025'
  notes: R package version 0.2.2
  url: https://CRAN.R-project.org/package=SelectBoost.gamlss
  doi: 10.32614/CRAN.package.SelectBoost.gamlss
repository: https://fbertran.r-universe.dev
repository-code: https://github.com/fbertran/SelectBoost.gamlss
commit: 219797ff08a77bb67ea8d70b306196f0db36d85d
url: https://fbertran.github.io/SelectBoost.gamlss/
date-released: '2025-11-20'
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