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>.
| Version: | 1.2.2 |
| Depends: | R (≥ 4.0.0) |
| Imports: | grDevices, graphics, methods, stats, utils |
| Published: | 2022-02-17 |
| Author: | Johann R. Kleinbub, Fabian Ramseyer |
| Maintainer: | Johann R. Kleinbub <johann.kleinbub at gmail.com> |
| BugReports: | https://github.com/kleinbub/rMEA/issues |
| License: | GPL-3 |
| URL: | https://github.com/kleinbub/rMEA https://psync.ch |
| NeedsCompilation: | no |
| Citation: | rMEA citation info |
| Materials: | README NEWS |
| CRAN checks: | rMEA results |
| Reference manual: | rMEA.pdf |
| Package source: | rMEA_1.2.2.tar.gz |
| Windows binaries: | r-prerel: rMEA_1.2.2.zip, r-release: rMEA_1.2.2.zip, r-oldrel: rMEA_1.2.2.zip |
| macOS binaries: | r-prerel (arm64): rMEA_1.2.2.tgz, r-release (arm64): rMEA_1.2.2.tgz, r-oldrel (arm64): rMEA_1.2.2.tgz, r-prerel (x86_64): rMEA_1.2.2.tgz, r-release (x86_64): rMEA_1.2.2.tgz |
| Old sources: | rMEA archive |
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