Changelog • SelectBoost.FDA

SelectBoost.FDA 0.5.1

Localized RNG handling in exported simulation and stability-selection functions so seed= no longer leaves the caller’s RNG state modified.
Reworked the benchmark generation script so it writes to an explicit --output-dir=... path when supplied and otherwise defaults to tempdir(), rather than writing into the package tree by default.
Updated tests and top-level documentation to match the revised RNG and benchmark-output behavior.

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.

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.

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().

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.

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.