rMEA
Synchrony in Motion Energy Analysis (MEA) Time-Series
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.
- Version1.2.2
- R version≥ 4.0.0
- LicenseGPL-3
- Needs compilation?No
- rMEA citation info
- Last release02/17/2022
Documentation
Team
Johann R. Kleinbub
Fabian Ramseyer
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