Package: SelectBoost.gamlss
Type: Package
Title: Stability-Selection via Correlated Resampling for 'GAMLSS'
        Models
Version: 0.2.2
Date: 2025-11-20
Depends: R (>= 4.1.0)
Imports: gamlss, Rcpp, rlang, SelectBoost, stats, utils
Suggests: doParallel, foreach, future, future.apply, gamlss.data,
        gamlss.dist, ggplot2, glmnet, grpreg, knitr, knockoff, MASS,
        microbenchmark, nlme, parallel, pkgdown, pscl, rmarkdown, SGL,
        testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
Authors@R: c(
	person(given = "Frederic", family= "Bertrand", role = c("cre", "aut"), 
	email = "frederic.bertrand@lecnam.net", comment = c(ORCID = "0000-0002-0837-8281")))
Author: Frederic Bertrand [cre, aut] (ORCID:
    <https://orcid.org/0000-0002-0837-8281>)
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: 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.
License: GPL-3
Encoding: UTF-8
Classification/MSC: 62H11, 62J12, 62J99
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.3.3
URL: https://fbertran.github.io/SelectBoost.gamlss/,
        https://github.com/fbertran/SelectBoost.gamlss
BugReports: https://github.com/fbertran/SelectBoost.gamlss/issues
Config/testthat/edition: 3
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-11-21 00:44:35 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-11-25 20:22:11 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 10:16:25 UTC; unix
Archs: SelectBoost.gamlss.so.dSYM
