SelectBoost.FDA News

SelectBoost.FDA 0.5.0

• Added pkgdown website and a package-style README.
• Added targeted FDA benchmark sensitivity utilities with run_selectboost_sensitivity_study().
• Added simulation controls for confounding_strength, active_region_scale, and local_correlation so benchmarks can stress the settings where FDA-aware grouping is expected to help.
• Added shipped benchmark artifacts under inst/extdata/benchmarks/, including feature-level mean F1 summaries and ranked selectboost_fda() versus plain SelectBoost settings.
• Added a reproducible benchmark script in tools/run_selectboost_sensitivity_study.R and updated the benchmark vignette to read the saved study outputs directly.

SelectBoost.FDA 0.4.0

• Added minimal examples to the core functions of the package
• Added a validation layer with plain_selectboost(), simulate_fda_scenario(), evaluate_selection(), benchmark_selection_methods(), and run_simulation_study().
• Added mapped ground-truth utilities so feature-, group-, and basis-level recovery can be evaluated on transformed FDA designs.
• Added a simulation and benchmarks vignette plus release-hardening metadata for CI and pkgdown workflows.

SelectBoost.FDA 0.3.0

• Added a broader selector interface with lasso, group_lasso, and sparse_group_lasso aliases, while keeping backend-specific names available.
• Added sparse-group lasso support through the SGL package.
• Added overlapping interval groups and region-aware association structures for FDA grouping.
• Added calibration helpers for stability-selection parameters, interval widths, and SelectBoost c0 grids.
• Added method-comparison utilities to run grouped stability selection, interval stability selection, FDA-SelectBoost, and optional FDboost workflows on the same fda_design.
• Added a formula interface with fda_design_formula(), fit_stability_formula(), and fit_selectboost_formula().

SelectBoost.FDA 0.2.0

• Added FDA-native preprocessing objects for identity transforms, scalar standardization, spline-basis expansion, and FPCA.
• Added fitted preprocessing workflows with fit_fda_preprocessor() and apply_fda_preprocessor() so training and new-data transforms use the same mapping.
• Extended fda_design() to support multiple functional predictors, scalar covariates, optional fitted preprocessors, and richer reversible domain metadata.
• Standardized fit outputs across stability selection and SelectBoost with consistent print(), summary(), selection_map(), plot(), and selected() behavior.
• Added packaged example datasets for end-to-end workflows and updated the vignettes to start from raw functional inputs.
• Expanded test coverage and refreshed package documentation for the FDA-native core API.

SelectBoost.FDA 0.1.0

• Initial package release.
• Added grouped stability selection for functional predictors represented on grids or in basis form.
• Added FDA-aware SelectBoost wrappers, interval grouping helpers, plotting methods, and introductory vignettes.