Changes in version 0.2.0 (2026-10-16)                  

  - metric_t(exact = TRUE): complete enumeration of two-group label
    assignments; p-values, attainable minimum p and Westfall-Young
    adjustment are computed on the complete set.
  - mt_label_space() and mt_locate(): Metric-T for every two-group
    labelling of the subjects (2^n - 2), with the effective number of
    independent features and the share of labellings showing a nominal
    reversal.
  - metric_t_trend(): Metric-T for a continuous covariate, with exact
    permutation restricted to strata (for example recording sessions)
    and joint adjustment over several covariates.
  - mt_clean_epochs(): linear detrending and peak-to-peak rejection of
    epochs.
  - mt_labelset() / mt_labelings(): enumeration of labellings for
    ambiguous group membership.

                        Changes in version 0.1.0                        

  - First release: wPLI/MSC features, direction consistency, Metric-T
    with aligned permutations, Westfall-Young max-T, 'shiny' interface,
    readers for the feature files of the published Python pipeline.