# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "metricT" in publications use:' type: software license: MIT title: 'metricT: Directional Fragility Diagnostics for EEG Connectivity' version: 0.2.0 abstract: 'Implements Metric-T, a permutation-based diagnostic that flags when the reported direction of a group difference in electroencephalography (EEG) functional connectivity depends on the choice of metric. Direction consistency (DC) converts the weighted phase lag index (wPLI) and magnitude-squared coherence (MSC), both derived from the same cross-spectrum, into the percentage of channel-pair features for which one group exceeds the other; Metric-T is T = DC(wPLI) - DC(MSC). Significance is assessed by aligned label permutation with marginal and Westfall-Young max-T multiplicity control. For small samples the reference set is enumerated completely: exact two-group tests, the complete two-group labelling space (in which cut-points, exclusions and batches are located on one distribution), and a stratified exact test for a continuous covariate. Core functions use base R only; a ''shiny'' graphical interface is included. Method: Kimura (2026) .' authors: - family-names: Kimura given-names: Akira email: a-kimura@paz.ac.jp orcid: https://orcid.org/0000-0003-0220-5678 repository: https://cran.r-universe.dev repository-code: https://github.com/akimura753/metricT commit: 0bb7a90765e1af6883297544aff23a2084ece2aa url: https://github.com/akimura753/metricT date-released: '2026-10-16' contact: - family-names: Kimura given-names: Akira email: a-kimura@paz.ac.jp orcid: https://orcid.org/0000-0003-0220-5678