Package: SelectBoost.FDA 0.5.1

SelectBoost.FDA: SelectBoost-Style Variable Selection for Functional Data Analysis

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.

Authors:Frederic Bertrand [cre, aut]

SelectBoost.FDA_0.5.1.tar.gz
SelectBoost.FDA_0.5.1.zip(r-4.7)SelectBoost.FDA_0.5.1.zip(r-4.6)SelectBoost.FDA_0.5.1.zip(r-4.5)
SelectBoost.FDA_0.5.1.tgz(r-4.6-any)SelectBoost.FDA_0.5.1.tgz(r-4.5-any)
SelectBoost.FDA_0.5.1.tar.gz(r-4.7-any)SelectBoost.FDA_0.5.1.tar.gz(r-4.6-any)
SelectBoost.FDA_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SelectBoost.FDA/json (API)
NEWS

# Install 'SelectBoost.FDA' in R:
install.packages('SelectBoost.FDA', repos = c('https://fbertran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fbertran/selectboost.fda/issues

Pkgdown/docs site:https://fbertran.github.io

Datasets:

On CRAN:

Conda:

5.02 score 1 stars 14 scripts 505 downloads 39 exports 50 dependencies

Last updated from:fa605c02fc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK255
source / vignettesOK293
linux-release-x86_64OK218
macos-release-arm64OK145
macos-oldrel-arm64OK124
windows-develOK122
windows-releaseOK109
windows-oldrelOK129
wasm-releaseOK171

Exports:apply_fda_preprocessoras_functional_matrixbenchmark_selection_methodscalibrate_interval_widthcalibrate_selectboostcalibrate_stability_selectioncompare_selection_methodsevaluate_selectionfda_basisfda_bsplinefda_designfda_design_formulafda_fpcafda_gridfda_identityfda_scalarfda_standardizefdboost_stability_selectionfit_fda_preprocessorfit_selectboostfit_selectboost_formulafit_stabilityfit_stability_formulafunctional_associationfunctional_block_groupsfunctional_interval_groupsinterval_stability_selectionmake_functional_grouping_functionplain_selectboostrun_selectboost_sensitivity_studyrun_simulation_studyselectboost_fdaselectedselection_mapsimulate_fda_scenariostability_selection_fdasuggest_c0_gridsummarise_benchmark_advantagesummarise_benchmark_performance

Dependencies:abindanimationCascadecliclustercodetoolscpp11curldeldirforeachglmnetglueigraphinterpiteratorsjpeglarslatticelatticeExtralifecyclelimmamagickmagrittrMASSMatrixmsgpsnnetnnlsnor1mixpkgconfigplspngRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRfastrlangSelectBoostshapesplsstatmodsurvivaltnetvarbvsvctrsVGAMwithrzigg

Basis and FPCA Workflows

Rendered frombasis-fpca-workflows.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2026-03-29
Started: 2026-03-29

Discretized Curves and Grouped Stability Selection

Rendered fromdiscretized-curves.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2026-03-29
Started: 2026-03-29

Methods, Calibration, and Formula Workflows

Rendered frommethods-and-formulas.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2026-03-31
Started: 2026-03-31

SelectBoost for Dense Spectra

Rendered fromselectboost-spectra.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2026-03-29
Started: 2026-03-29

Simulation and Benchmark Workflows

Rendered fromsimulation-and-benchmarks.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2026-04-07
Started: 2026-03-31

Readme and manuals

Help Manual

Help pageTopics
Apply an FDA Preprocessorapply_fda_preprocessor
Flatten Functional Predictors Into a Matrixas_functional_matrix
Benchmark FDA Selection Methods on Shared Ground Truthbenchmark_selection_methods
Calibrate Interval Widthscalibrate_interval_width
Calibrate SelectBoost c0 Valuescalibrate_selectboost
Calibrate Stability-Selection Parameterscalibrate_stability_selection
Compare FDA Selection Methodscompare_selection_methods
Evaluate Selection Recovery Against Ground Truthevaluate_selection
Basis-Expanded Functional Predictorfda_basis
Spline-Basis Preprocessing Specfda_bspline
Functional Design Objectfda_design
Build an FDA Design from a Formulafda_design_formula
FPCA Preprocessing Specfda_fpca
Functional Predictor on a Common Gridfda_grid
Identity Preprocessing Specfda_identity
Scalar Predictor Constructorfda_scalar
Standardization Preprocessing Specfda_standardize
Stability Selection for FDboost Fitsfdboost_stability_selection
Fit an FDA Preprocessorfit_fda_preprocessor
Fit SelectBoost from an FDA Designfit_selectboost
Fit FDA-SelectBoost from a Formulafit_selectboost_formula
Fit Grouped Stability Selection from an FDA Designfit_stability
Fit Stability Selection from a Formulafit_stability_formula
Functional Association Matrixfunctional_association
Block-Level Groups for Functional Predictorsfunctional_block_groups
Interval Groups for Discretized Functional Predictorsfunctional_interval_groups
Interval Stability Selectioninterval_stability_selection
FDA-Aware Grouping Function for SelectBoostmake_functional_grouping_function
Smooth Trajectory Functional Examplemotion_example
Plain SelectBoost Baseline for Functional Predictorsplain_selectboost
Plot FDA Selection Resultsplot.fda_selection plot.fda_stability_selection plot.selectboost_fda_result
Run a Targeted Sensitivity Study for FDA-SelectBoostrun_selectboost_sensitivity_study
Run a Repeated FDA Simulation Studyrun_simulation_study
FDA-Oriented SelectBoost Wrapperselectboost_fda
Extract Selected Features or Groupsselected
Feature-Level Selection Mapselection_map
Simulate an FDA Benchmark Scenariosimulate_fda_scenario
Spectroscopy-Style Functional Examplespectra_example
Grouped Stability Selection for Functional Predictorsstability_selection_fda
Suggest a c0 Grid for FDA-SelectBoostsuggest_c0_grid
Summarize the Advantage of FDA-SelectBoost Over Baselinessummarise_benchmark_advantage
Summarize Benchmark Performance by Methodsummarise_benchmark_performance