low_pct and high_pct arguments to derive_cutoffs_percentile() for flexible percentile specification (instead of hardcoded 80th/20th).loess_span argument to derive_cutoffs_sensspec() to allow user control of smoothing in LOESS regression.risk_col argument to dca_analysis() to support custom risk score column names.ylim_lower) to avoid clipping when net benefit is negative.cutoff.percentile, cutoff.sensspec) and referenced directly in print methods.evaluate_performance() documentation updated to clarify that indeterminate subjects are excluded from sensitivity/specificity calculations.print.cutoff.percentile, print.cutoff.sensspec) now display biomarker name explicitly instead of inferring from dataset.adjust_score() when validate = FALSE (no test_auc included).tests/testthat/:
adjust_score.derive_cutoffs_*.compare_performance(), dca_analysis(), and plot_two_cutoff().adjust_score().This NEWS file summarizes the major changes, new arguments, documentation updates, and test coverage improvements for this release.