Package: SelectBoost.beta
Type: Package
Title: Stability-Selection via Correlated Resampling for
        Beta-Regression Models
Version: 0.4.5
Date: 2025-11-04
Depends: R (>= 4.0)
Imports: betareg, gamlss, gamlss.dist, glmnet, MASS, Rcpp, rlang,
        stats, withr
Suggests: future, future.apply, gamlss.lasso, ggplot2, knitr,
        rmarkdown, 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: Adds variable-selection functions for Beta regression models
    (both mean and phi submodels) so they can be used within the 'SelectBoost' algorithm.
    Includes stepwise AIC, BIC, and corrected AIC on betareg() fits, 'gamlss'-based 
    LASSO/Elastic-Net, a pure 'glmnet' iterative re-weighted least squares-based selector 
    with an optional standardization speedup, and 'C++' helpers for iterative 
    re-weighted least squares working steps and precision updates. Also provides
    a fastboost_interval() variant for interval responses, comparison helpers,
    and a flexible simulator simulation_DATA.beta() for interval-valued data. 
    For more details see Bertrand and Maumy (2023) <doi:10.7490/f1000research.1119552.1>.
License: GPL-3
Encoding: UTF-8
Classification/MSC: 62H11, 62J12, 62J99
VignetteBuilder: knitr
RoxygenNote: 7.3.3
URL: https://fbertran.github.io/SelectBoost.beta/,
        https://github.com/fbertran/SelectBoost.beta/
BugReports: https://github.com/fbertran/SelectBoost.beta/issues/
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-11-04 09:49:20 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-11-11 09:20:09 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-01-20 04:07:49 UTC; windows
Archs: x64
