NEWS
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.
SelectBoost.FDA 0.5.0 (2026-04-10)
- 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.