rMEA
1.2.2Synchrony in Motion Energy Analysis (MEA) Time-Series
Overview
A suite of tools useful to read, visualize and export bivariate motion energy time-series. Lagged synchrony between subjects can be analyzed through windowed cross-correlation. Surrogate data generation allows an estimation of pseudosynchrony that helps to estimate the effect size of the observed synchronization. Kleinbub, J. R., & Ramseyer, F. T. (2020). rMEA: An R package to assess nonverbal synchronization in motion energy analysis time-series. Psychotherapy research, 1-14. doi:10.1080/10503307.2020.1844334.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 83%
- Documented parameters
- 91%
- Return-value docs
- 71%
- References docs
- 0%
Downloads
Repository
Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/kleinbub/rmea on 2026-08-03.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
Author records are not tracked yet for this package.
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.2.2Latest
- RR 4.1.0 released · 2021-05-18
- 1.2.02020-08-04 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.1.02019-03-22 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.0.02018-03-16
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-03-16
- Total releases
- 4 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 914 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet