| boot_km_ratio | Bootstrap CI for an SBW-weighted KM survival ratio |
| dot-build_design | Build the balance design matrix from a one-sided formula |
| dot-clip_weights | Clip small/negative numerical noise out of a QP weight... |
| dot-extract_surv_at_t0 | Extract survival + SE at a fixed time from a 'survfit'... |
| dot-n_zero_by_arm | Count units with (numerically) zero SBW weight in each arm |
| dot-recode_treatment | Recode a raw treatment vector to 0/1, recording the level map... |
| dot-resolve_outcome | Resolve the outcome formula against the analysis-stage data |
| dot-resolve_treatment | Resolve the 'treatment' argument (column name or vector)... |
| dot-weighted_mean | Weighted mean |
| dot-weighted_quantile | Weighted generalized-inverse (step-function) quantile |
| dot-weighted_win_prob | Weighted Mann-Whitney / win-probability estimator |
| dot-zero_weight_phrase | Phrase zero-weight counts, e.g. "6 of 8 treated and 2 of 40... |
| get_sbws_for_study | Study-level SBW weights: closed-form first, QP fallback if... |
| get_weights_for_group_neg | Closed-form SBW group weights (negative weights allowed) |
| get_weights_for_group_nonneg | Nonnegative-QP SBW group weights, with clipping diagnostics |
| km_ratio_greenwood | Weighted KM survival ratio S1(t0)/S0(t0) with a... |
| plot.sbw_fit | Plot covariate balance before and after SBW weighting |
| sbwadjust-package | sbwadjust: Stable Balancing Weights for Covariate Adjustment... |
| sbw_estimate | Estimate a treatment effect from a fitted 'sbw_fit' object |
| sbw_weights | Fit stable balancing weights for a two-arm study (design... |
| summary.sbw_fit | Summarize an 'sbw_fit': balance table and weight diagnostics |
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