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.