# SelectBoost.quantile 0.3.0

## Methodology

- Added hybrid support extraction as the default summary/support rule, combining
  path stability and fitted effect size.
- Regenerated the shipped validation study with the improved selector and the
  strengthened high-dimensional safeguards.

## Documentation

- Added a getting-started vignette for the current matrix, formula, tuning, and
  prediction workflows.
- Updated the validation vignette to report F1 score alongside recall and
  false-discovery rate.
- Updated the README to point to the new vignettes and current benchmark
  defaults.

## Maintenance

- Updated `inst/scripts/run_quantile_benchmark.R` so benchmark artifacts are
  written to a user-supplied directory or, by default, to a subdirectory of
  `tempdir()` rather than the package tree or `getwd()`.
- Reworked internal seed handling to use `withr::with_seed()` instead of
  touching `.GlobalEnv`, and added regression tests to confirm seeded helpers
  preserve the caller RNG stream.
- Updated benchmark reproduction examples in the README and validation vignette
  to use temporary output directories.

# SelectBoost.quantile 0.2.0

## Major changes

- Refactored the core SelectBoost-style quantile workflow into modular
  preprocessing, grouping, directional, tuning, and methods layers.
- Added multi-`tau` support, formula interfaces, prediction helpers, support
  extraction, and broader lambda tuning workflows.
- Added a validation framework with default benchmark scenarios, per-method
  support recovery summaries, failure tracking, and a reproducible benchmark
  runner.

## Documentation

- Added a validation vignette based on shipped benchmark artifacts under
  `inst/extdata/validation/`.
- Expanded README guidance around validation and reproducible study runs.

# SelectBoost.quantile 0.1.0

- First commit of the package.
