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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.