CRAN/E | rMEA

rMEA

Synchrony in Motion Energy Analysis (MEA) Time-Series

Installation

About

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.

Citation rMEA citation info
github.com/kleinbub/rMEA https://psync.ch
github.com/kleinbub/rMEA https://psync.ch
Bug report File report

Key Metrics

Version 1.2.2
R ≥ 4.0.0
Published 2022-02-17 959 days ago
Needs compilation? no
License GPL-3
CRAN checks rMEA results

Downloads

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Maintainer

Maintainer

Johann R. Kleinbub

Authors

Johann R. Kleinbub
Fabian Ramseyer

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rMEA archive

Depends

R ≥ 4.0.0

Imports

grDevices
graphics
methods
stats
utils