Package: rMEA 1.3.0
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>.
Authors:
rMEA_1.3.0.tar.gz
rMEA_1.3.0.zip(r-4.5)rMEA_1.3.0.zip(r-4.4)rMEA_1.3.0.zip(r-4.3)
rMEA_1.3.0.tgz(r-4.5-any)rMEA_1.3.0.tgz(r-4.4-any)rMEA_1.3.0.tgz(r-4.3-any)
rMEA_1.3.0.tar.gz(r-4.5-noble)rMEA_1.3.0.tar.gz(r-4.4-noble)
rMEA_1.3.0.tgz(r-4.4-emscripten)rMEA_1.3.0.tgz(r-4.3-emscripten)
rMEA.pdf |rMEA.html✨
rMEA/json (API)
NEWS
| # Install 'rMEA' in R: |
| install.packages('rMEA', repos = c('https://kleinbub.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kleinbub/rmea/issues
Last updated 3 months agofrom:16bdb24e8c. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 13 2025 |
| R-4.5-win | OK | Mar 13 2025 |
| R-4.5-mac | OK | Mar 13 2025 |
| R-4.5-linux | OK | Mar 13 2025 |
| R-4.4-win | OK | Mar 13 2025 |
| R-4.4-mac | OK | Mar 13 2025 |
| R-4.4-linux | OK | Mar 13 2025 |
| R-4.3-win | OK | Mar 13 2025 |
| R-4.3-mac | OK | Mar 13 2025 |
Exports:CCFartefactsccfResNamescohens_ddiagnosticPlotgetCCFgroupidis.MEAis.MEAlistlagNamesMEAMEAccfMEAdistplotMEAheatmapMEAlagplotMEAlistMEAmapMEAoutlierMEAreplaceMEAscaleMEAsmoothreadMEAs1Names2NamesampRatesessionsetGroupshuffleshuffle_segmentstimeMasteruidwriteMEA
