metricT 0.2.0

• 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.