NEWS
metricT 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.
metricT 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.