Changes in version 0.1.0 (2026-10-21)                  

  - First release: an R port of the Python package lifelines-hc.
  - higher_criticism_test(), berk_jones_test(),
    fisher_combination_test() and min_p_test() for two-sample
    right-censored survival data.
  - event_pvalues() and suspected_deviations() expose the per-interval
    hypergeometric p-values and the intervals flagged by the Higher
    Criticism threshold.
  - plot_pvalue_profile() draws the signed per-interval p-value profile.
  - Every entry point is an S3 generic and accepts either two samples as
    vectors or the usual survival formula, Surv(time, status) ~ group,
    with data, subset and na.action. cbind(time, status) ~ group and
    time ~ group work without survival attached, the latter treating
    every observation as an event. The first level of the grouping
    variable is group A, so alternative = "greater" tests for excess
    hazard in the second level. The two interfaces are tested to return
    bit-identical statistics and p-values; they differ only in that the
    formula method applies na.action to incomplete rows, where the
    vector interface rejects them.
  - hc_version selects the Higher Criticism variant: "dj2008" (default),
    "dj2004" (equation (2) of the paper), "beta" or "star". The names
    and the default match the hc_version argument of lifelines-hc and
    the named methods of the Python multitest package (>= 0.2.2); all
    four agree with it to machine precision.
  - No dependencies beyond base R, stats and graphics.