Changes in version 0.2.0 (2026-10-21)                  

  - A vignette, vignette("exactcond"), working through every exported
    function, and references with DOIs in the DESCRIPTION.
  - ec_diffnet_test(): a differential network without a Gaussian
    assumption, following the permutation route of NetCoMi's diffnet and
    the max-over-edges statistic of the Network Comparison Test, with
    exchangeability blocks in the sense of Winkler et al. (2014). The
    edge statistic is the heterogeneity of the Fisher-transformed
    correlations across groups, the same quantity the Gaussian theory
    uses, referred to the law obtained by permuting the group labels
    instead of to a chi-square; on ranks the procedure is
    distribution-free. One p-value for the whole network (sum or maximum
    over edges) with the per-edge p-values from the same permutations
    for a closed follow-up, so a p(p-1)/2-edge network pays no
    multiplicity correction, and a cluster permutation for interviewer
    or ward effects. Measured cost against the Gaussian route on
    Gaussian data: about five points of power. Measured gain off it: the
    Gaussian null rejects a true null 28 per cent of the time on t(3)
    data and 29 per cent under clustering, where this holds 5 and 4.
  - ec_multi_test(): one permutation test for a battery of categorical
    items across groups. This is Pesarin's nonparametric combination
    with the direct (sum) and Tippett (maximum) combining functions, and
    the maximum with per-item follow-up is a step of Westfall and
    Young's maxT; the sum or the maximum over items of a per-item
    Pearson or score-dispersion statistic referred to the law obtained
    by permuting the group labels, across respondents or across
    clusters. One p-value for the whole battery, no multiplicity
    correction, and per-item p-values from the same permutations for a
    closed follow-up. Provided because no package in this programme's
    toolchain offered these with exchangeability blocks in one place; on
    the prevention-behaviour paper's data the maximum-statistic form
    matched or beat a Bonferroni-corrected Fisher battery at its own
    size.

                        Changes in version 0.1.0                        

First release.

  - ec_rc_test() and ec_rc_null(): exact conditional inference in a
    two-way table given both margins, sampled by random permutation of
    the column labels. Statistics are Goodman's linear-by-linear
    association, the dispersion of the row mean scores for nominal rows
    against an ordinal column, Pearson's statistic and the likelihood
    ratio.
  - ec_rc_two(): exact conditional test that two tables share a
    linear-by-linear parameter.
  - ec_sphere_maxquad(): exact null for a quadratic form maximised over
    candidate structures, valid after selection by fit.
  - ec_pvalue(): tail probabilities with a mid-p companion and a Wilson
    interval for the Monte Carlo error, so an estimated p-value is not
    quoted as though it were exact arithmetic.