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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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