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.