Package: metricT 0.2.0

Akira Kimura
metricT: Directional Fragility Diagnostics for EEG Connectivity
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) <doi:10.1016/j.neuri.2026.100286>.
Authors:
metricT_0.2.0.tar.gz
metricT_0.2.0.zip(r-4.7-any)metricT_0.2.0.zip(r-4.6-any)
metricT_0.2.0.tar.gz(r-4.7-any)metricT_0.2.0.tar.gz(r-4.6-any)
metricT_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
metricT/json (API)
| # Install 'metricT' in R: |
| install.packages('metricT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/akimura753/metrict/issues
Last updated from:0bb7a90765. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 166 | ||
| source / vignettes | OK | 152 | ||
| linux-release | OK | 112 | ||
| windows-devel | OK | 72 | ||
| windows-release | OK | 71 | ||
| wasm-release | OK | 89 |
Exports:metric_tmetric_t_trendmt_bandsmt_clean_epochsmt_connectivitymt_dcmt_epochmt_features_from_eeg_csvmt_features_from_epochsmt_label_spacemt_labelingsmt_labelsetmt_locatemt_motion_bandsmt_null_plotmt_read_features_csvmt_read_npymt_read_npzmt_simulatemt_simulate_motionmt_write_features_csvmt_wy_maxtrun_metricT_app
Dependencies:
