The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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-devel: rMEA_1.2.2.zip, r-release: rMEA_1.2.2.zip, r-oldrel: rMEA_1.2.2.zip |
| macOS binaries: | r-release (arm64): rMEA_1.2.2.tgz, r-oldrel (arm64): rMEA_1.2.2.tgz, r-release (x86_64): rMEA_1.2.2.tgz, r-oldrel (x86_64): rMEA_1.2.2.tgz |
| Old sources: | rMEA archive |
Please use the canonical form https://CRAN.R-project.org/package=rMEA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.