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rMEA  

Synchrony in Motion Energy Analysis (MEA) Time-Series
View on CRAN: Click here


Download and install rMEA package within the R console
Install from CRAN:
install.packages("rMEA")

Install from Github:
library("remotes")
install_github("cran/rMEA")

Install by package version:
library("remotes")
install_version("rMEA", "1.2.2")



Attach the package and use:
library("rMEA")
Maintained by
Johann R. Kleinbub
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-16
Latest Update: 2022-02-17
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. .
How to cite:
Johann R. Kleinbub (2018). rMEA: Synchrony in Motion Energy Analysis (MEA) Time-Series. R package version 1.2.2, https://cran.r-project.org/web/packages/rMEA. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:47), 1.0.0 (2018-03-16 10:35), 1.1.0 (2019-03-22 16:10), 1.2.0 (2020-08-04 23:50)
Other packages that cited rMEA R package
View rMEA citation profile
Other R packages that rMEA depends, imports, suggests or enhances
Complete documentation for rMEA
Functions, R codes and Examples using the rMEA R package
Some associated functions: CCFartefacts . MEA . MEAccf . MEAdistplot . MEAheatmap . MEAlagplot . MEAlist . MEAmap . MEAoutlier . MEAreplace . MEAscale . MEAsmooth . ccfResNames . cohens_d . colTrans . diagnosticPlot . getCCF . id . lagNames . lines.MEA . plot.MEA . readMEA . setGroup . shuffle . shuffle_segments . timeMaster . writeMEA . 
Some associated R codes: rMEA_IO.R . rMEA_artefact.R . rMEA_ccf.R . rMEA_class.R . rMEA_get.R . rMEA_graphics.R . rMEA_rand.R . rMEA_util.R . rMea_filter.R .  Full rMEA package functions and examples
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