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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>.

Versions across snapshots

VersionRepositoryFileSize
1.2.2 rolling linux/jammy R-4.5 rMEA_1.2.2.tar.gz 980.4 KiB
1.2.2 rolling linux/noble R-4.5 rMEA_1.2.2.tar.gz 980.1 KiB
1.2.2 rolling source/ R- rMEA_1.2.2.tar.gz 893.0 KiB
1.2.2 latest linux/jammy R-4.5 rMEA_1.2.2.tar.gz 980.4 KiB
1.2.2 latest linux/noble R-4.5 rMEA_1.2.2.tar.gz 980.1 KiB
1.2.2 latest source/ R- rMEA_1.2.2.tar.gz 893.0 KiB
1.2.2 2026-04-26 source/ R- rMEA_1.2.2.tar.gz 893.0 KiB
1.2.2 2026-04-23 source/ R- rMEA_1.2.2.tar.gz 893.0 KiB
1.2.2 2026-04-09 windows/windows R-4.5 rMEA_1.2.2.zip 993.2 KiB
1.2.2 2025-04-20 source/ R- rMEA_1.2.2.tar.gz 893.0 KiB

Dependencies (latest)

Imports