{ "_id": "6ad50fe143d630dc48a3fb04", "Package": "metricT", "Type": "Package", "Title": "Directional Fragility Diagnostics for EEG Connectivity", "Version": "0.2.1", "Authors@R": "person(\"Akira\", \"Kimura\", email = \"a-kimura@paz.ac.jp\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-0220-5678\"))", "Description": "Implements Metric-T, a permutation-based diagnostic that\nflags when the reported direction of a group difference in\nelectroencephalography (EEG) functional connectivity depends on\nthe choice of metric. Direction consistency (DC) converts the\nweighted phase lag index (wPLI) and magnitude-squared coherence\n(MSC), both derived from the same cross-spectrum, into the\npercentage of channel-pair features for which one group exceeds\nthe other; Metric-T is T = DC(wPLI) - DC(MSC). Significance is\nassessed by aligned label permutation with marginal and\nWestfall-Young max-T multiplicity control. For small samples\nthe reference set is enumerated completely: exact two-group\ntests, the complete two-group labelling space (in which\ncut-points, exclusions and batches are located on one\ndistribution), and a stratified exact test for a continuous\ncovariate. Core functions use base R only; a 'shiny' graphical\ninterface is included. Method: Kimura (2026)\n.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-GB", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "URL": "https://github.com/akimura753/metricT", "BugReports": "https://github.com/akimura753/metricT/issues", "RoxygenNote": "7.3.1", "Repository": "https://akimura753.r-universe.dev", "Date/Publication": "2026-10-18 15:38:10 UTC", "RemoteUrl": "https://github.com/akimura753/metrict", "RemoteRef": "HEAD", "RemoteSha": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-18 18:24:28 UTC", "User": "root" }, "Author": "Akira Kimura [aut, cre] (ORCID:\n)", "Maintainer": "Akira Kimura ", "_user": "akimura753", "_type": "src", "_file": "metricT_0.2.1.tar.gz", "_fileid": "https://r2.ropensci.org/af4a7a456a1c1b28f5774d511dcd89ed9a4ab56ad665ad820dae3388d347107c", "_filesize": 408907, "_sha256": "af4a7a456a1c1b28f5774d511dcd89ed9a4ab56ad665ad820dae3388d347107c", "_expires": "2027-01-26T18:28:46.000Z", "_created": "2026-10-18T18:24:28.000Z", "_published": "2026-10-18T18:28:48.937Z", "_buildurl": "https://github.com/r-universe/akimura753/actions/runs/39153817463", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 117753416776, "time": 114, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12146855245" }, { "job": 117753416772, "time": 112, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12146590379" }, { "job": 117753416893, "time": 97, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "12146615338" }, { "job": 117753416822, "time": 88, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12146187008" }, { "job": 117752827095, "time": 154, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "12146068284" }, { "job": 117753416816, "time": 88, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "12146272454" }, { "job": 117753416826, "time": 74, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12146865135" }, { "job": 117753416784, "time": 55, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "12146625250" }, { "job": 117753416839, "time": 78, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12146436545" } ], "_upstream": "https://github.com/akimura753/metrict", "_commit": { "id": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "author": "akimura753 <33863572+akimura753@users.noreply.github.com>", "committer": "GitHub ", "message": "Add files via upload", "time": 1792337890 }, "_maintainer": { "name": "Akira Kimura", "email": "a-kimura@paz.ac.jp", "orcid": "0000-0003-0220-5678" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "shiny", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "akimura753", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-41", "n": 5 }, { "week": "2026-42", "n": 3 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "akimura753", "count": 8, "uuid": 33863572 } ], "_userbio": { "uuid": 33863572, "type": "user", "name": "akimura753", "followers": 0 }, "_downloads": { "count": 39, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/metricT" }, "_devurl": "https://github.com/akimura753/metrict", "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/metricT.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "LICENSE" ], "_homeurl": "https://github.com/akimura753/metrict", "_realowner": "akimura753", "_cranurl": true, "_releases": [ { "version": "0.2.0", "date": "2026-10-16" } ], "_exports": [ "metric_t", "metric_t_trend", "mt_bands", "mt_clean_epochs", "mt_connectivity", "mt_dc", "mt_epoch", "mt_features_from_eeg_csv", "mt_features_from_epochs", "mt_label_space", "mt_labelings", "mt_labelset", "mt_locate", "mt_motion_bands", "mt_null_plot", "mt_read_features_csv", "mt_read_npy", "mt_read_npz", "mt_simulate", "mt_simulate_motion", "mt_write_features_csv", "mt_wy_maxt", "run_metricT_app" ], "_help": [ { "page": "metric_t", "title": "Metric-T: diagnostic for directional fragility", "topics": [ "metric_t" ] }, { "page": "metric_t_trend", "title": "Metric-T for a continuous covariate, with stratified exact permutation", "topics": [ "metric_t_trend" ] }, { "page": "mt_bands", "title": "Default frequency bands (Hz), as in Kimura (2026)", "topics": [ "mt_bands" ] }, { "page": "mt_clean_epochs", "title": "Detrend epochs and drop those with large excursions", "topics": [ "mt_clean_epochs" ] }, { "page": "mt_connectivity", "title": "wPLI and MSC from the same cross-spectrum (one subject)", "topics": [ "mt_connectivity" ] }, { "page": "mt_dc", "title": "Direction consistency (DC)", "topics": [ "mt_dc" ] }, { "page": "mt_epoch", "title": "Cut a continuous recording into fixed-length epochs", "topics": [ "mt_epoch" ] }, { "page": "mt_features_from_eeg_csv", "title": "Features from one CSV file of preprocessed EEG per subject", "topics": [ "mt_features_from_eeg_csv" ] }, { "page": "mt_features_from_epochs", "title": "Subject-by-feature matrices from per-subject epoch arrays", "topics": [ "mt_features_from_epochs" ] }, { "page": "mt_label_space", "title": "Enumerate the complete two-group labelling space", "topics": [ "mt_label_space" ] }, { "page": "mt_labelings", "title": "Metric-T under alternative labelling rules", "topics": [ "mt_labelings" ] }, { "page": "mt_labelset", "title": "Metric-T over the complete set of admissible labellings", "topics": [ "mt_labelset" ] }, { "page": "mt_locate", "title": "Locate a labelling in the labelling space", "topics": [ "mt_locate" ] }, { "page": "mt_motion_bands", "title": "Frequency bands for paced repetitive movement (Hz)", "topics": [ "mt_motion_bands" ] }, { "page": "mt_null_plot", "title": "Permutation null distribution of T for one condition", "topics": [ "mt_null_plot" ] }, { "page": "mt_read_npy", "title": "Read a NumPy .npy file (base R, no Python needed)", "topics": [ "mt_read_npy" ] }, { "page": "mt_read_npz", "title": "Read the feature archive written by the Python reference pipeline", "topics": [ "mt_read_npz" ] }, { "page": "mt_simulate", "title": "Simulate EEG with tunable coupling-mode composition", "topics": [ "mt_simulate" ] }, { "page": "mt_simulate_motion", "title": "Simulate pose-estimated repetitive movement", "topics": [ "mt_simulate_motion" ] }, { "page": "mt_write_features_csv", "title": "Write and read features as a plain CSV table", "topics": [ "mt_read_features_csv", "mt_write_features_csv" ] }, { "page": "mt_wy_maxt", "title": "Westfall-Young max-T step-down adjustment", "topics": [ "mt_wy_maxt" ] }, { "page": "plot.metricT", "title": "Plot direction consistency for both metrics", "topics": [ "plot.metricT" ] }, { "page": "run_metricT_app", "title": "Launch the Metric-T graphical interface", "topics": [ "run_metricT_app" ] } ], "_readme": "https://github.com/akimura753/metrict/raw/HEAD/README.md", "_rundeps": [], "_vignettes": [ { "source": "metricT.Rmd", "filename": "metricT.html", "title": "Metric-T: checking whether a connectivity result depends on the metric", "engine": "knitr::rmarkdown", "headings": [ "When to use Metric-T", "The statistic", "Input data", "Two-group analysis", "Reading the output", "Small samples: exact enumeration", "The complete labelling space", "Continuous covariates", "Graphical interface", "Common mistakes", "Citation" ], "created": "2026-10-18 15:36:19", "modified": "2026-10-18 15:36:19", "commits": 1 } ], "_score": 4, "_indexed": true, "_nocasepkg": "metrict", "_universes": [ "akimura753" ], "_previous": "0.2.0", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.2.1", "date": "2026-10-18T18:26:24.000Z", "distro": "resolute", "commit": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "fileid": "https://r2.ropensci.org/7a7842ffe6c90b53d753a1d57c886bef9b1b251abeb3c0212ba7f61a12f53d4a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/akimura753/actions/runs/39153817463" }, { "r": "4.6.1", "os": "linux", "version": "0.2.1", "date": "2026-10-18T18:26:23.000Z", "distro": "resolute", "commit": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "fileid": "https://r2.ropensci.org/28e98a86e95d01974ec9471891842154f867f343c83b25b4780f124d7197a83e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/akimura753/actions/runs/39153817463" }, { "r": "4.5.3", "os": "mac", "version": "0.2.1", "date": "2026-10-18T18:26:33.000Z", "commit": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "fileid": "https://r2.ropensci.org/b4daa94b50c560bad6b3811a07f5ba86c58abb6fffb27a51ef5167a7422033fb", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/akimura753/actions/runs/39153817463" }, { "r": "4.6.1", "os": "mac", "version": "0.2.1", "date": "2026-10-18T18:28:18.000Z", "commit": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "fileid": "https://r2.ropensci.org/aaec12095da40b9367e6bc436910872449e7d599ff65baa6acef530c177f3bdf", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/akimura753/actions/runs/39153817463" }, { "r": "4.6.0", "os": "wasm", "version": "0.2.1", "date": "2026-10-18T18:26:16.000Z", "commit": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "fileid": "https://r2.ropensci.org/58a74f4e06e15cfce264a018217ce9805a93294220016cf429bc433ed205bac0", "status": "success", "buildurl": "https://github.com/r-universe/akimura753/actions/runs/39153817463" }, { "r": "4.7.0", "os": "win", "version": "0.2.1", "date": "2026-10-18T18:25:39.000Z", "commit": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "fileid": "https://r2.ropensci.org/d8fa5aa919cc87d6e065247728976364cd1e3e4d3248f92f2faa6bf464e6ad5c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/akimura753/actions/runs/39153817463" }, { "r": "4.5.3", "os": "win", "version": "0.2.1", "date": "2026-10-18T18:25:27.000Z", "commit": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "fileid": "https://r2.ropensci.org/6cc7b2f0a0e8c849f58a7a297a11dc2cb96c0c2eec25f1f318bdd88bbdaf0615", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/akimura753/actions/runs/39153817463" }, { "r": "4.6.1", "os": "win", "version": "0.2.1", "date": "2026-10-18T18:25:44.000Z", "commit": "eb8b33d67634736ddd83e78387b3ae298e2cdf53", "fileid": "https://r2.ropensci.org/ee1b2efb7b5c09b958ba4e8b6a2a62ef4011ac4e3ed4f4703dd7d9d777bbef92", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/akimura753/actions/runs/39153817463" } ] }