R Observatory: Metrics for metricT version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

metricT

0.2.0Package record

Directional Fragility Diagnostics for EEG Connectivity

0packages depend

153downloads / year

57.0%test coverage

13/13flavors OK

Overview

About

Maintained by Akira KimuraCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 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.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Fedora (COPR)openSUSE (OBS)

install.packages("metricT", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("akimura753/metricT")

Development version from akimura753/metricT. Installs pak first if it is not already available.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-metricT

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-metricT

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK7 OK2026-10-17

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 344 wordsVignettesNoNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 23
Examples that run: 100%23 run in a plain check (1 of them under a condition)
Exported functions with examples: 100%
Documented parameters: 84%
Return-value docs: 100%
Help pages citing references: 4%

How these are measured

Downloads

153

CRAN downloads in the past year

Rank #25,590 · ~0/day · ~13/mo

Releases R versions

Daily download trend is not available in this view yet.

15330 days

15390 days

1531 year

Compare downloads with other packages →

Also on1 autocran

How downloads are counted

Repository

akimura753/metrict ↗Account: akimura753

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-10-18 · Default branch at 0.2.1, ahead of CRAN 0.2.0 (checked 2026-10-25)

Responsiveness

not measured

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/akimura753/metrict on 2026-10-25.

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing metricT adds no packages beyond those that come with R.

Depends (1)

R >= 4.0.0

Imports (4)

statsgraphicsgrDevicesutils

LinkingTo (0)

none

Suggests (2)

shiny testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Akira Kimura

Author, Maintainer since 0.2.0 (2026)

Releases (1)

0.2.0Latest
record
2026-10-16 · current release ·
10 days in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-06 15:36 to 2026-10-16 07:45 UTC, in 45 readings.
R
R 4.6.0 released · 2026-04-24

Across CRAN, the median accepted release of the past year spent 22 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2026-10-16
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0.0
Download size: 129 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("metricT")

Format

Kimura, A. (2026). metricT: Directional Fragility Diagnostics for EEG Connectivity (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.metricT

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for metricT version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →