Package: rMEA
Type: Package
Title: Synchrony in Motion Energy Analysis (MEA) Time-Series
Version: 1.2.2
Date: 2022-02-17
Author: Johann R. Kleinbub, Fabian Ramseyer
Maintainer: Johann R. Kleinbub <johann.kleinbub@gmail.com>
Description: 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>.
URL: https://github.com/kleinbub/rMEA https://psync.ch
BugReports: https://github.com/kleinbub/rMEA/issues
Imports: grDevices, graphics, methods, stats, utils
Depends: R (>= 4.0.0)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2022-02-17 17:21:27 UTC; Kleinbub
Repository: CRAN
Date/Publication: 2022-02-17 18:12:07 UTC
Built: R 4.6.0; ; 2026-04-25 21:55:58 UTC; unix
