Changes in version 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.

                        Changes in version 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.

                        Changes in version 0.1.0                        

  - First commit of the package.