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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.