Package: SelectBoost.FDA
Title: SelectBoost-Style Variable Selection for Functional Data
        Analysis
Date: 2026-04-02
Version: 0.5.0
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: Implements 'SelectBoost'-style variable selection workflows for
    functional data analysis. The package provides FDA-native design and
    preprocessing objects for raw curves, spline-basis expansions, Functional 
    principal component analysis scores, and scalar covariates; grouped 
    stability-selection routines based on repeated subject-level subsampling; 
    multiple selector backends including lasso, group lasso, and sparse-group 
    lasso; FDA-aware grouping functions and calibration helpers for 'SelectBoost';
    method-comparison utilities; a formula interface; simulation,
    benchmarking, and validation helpers with mapped ground truth;
    targeted sensitivity-study utilities and shipped benchmark summaries
    for mean 'F1' comparisons between FDA-aware and plain 'SelectBoost'
    workflows; small example datasets; and an optional adapter to the
    native stability-selection interface from the 'FDboost' package.
LazyData: true
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 2.10)
Imports: SelectBoost, stats
Suggests: FDboost, glmnet, grpreg, knitr, pkgdown, rmarkdown, SGL,
        stabs, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/Needs/website: pkgdown
URL: https://fbertran.github.io/SelectBoost.FDA/,
        https://github.com/fbertran/SelectBoost.FDA
BugReports: https://github.com/fbertran/SelectBoost.FDA/issues
NeedsCompilation: no
Packaged: 2026-04-02 23:01:50 UTC; bertran7
Repository: CRAN
Date/Publication: 2026-04-10 13:30:09 UTC
