Package: rMEA 1.2.3
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_1.2.3.tar.gz
rMEA_1.2.3.zip(r-4.5)rMEA_1.2.3.zip(r-4.4)rMEA_1.2.3.zip(r-4.3)
rMEA_1.2.3.tgz(r-4.4-any)rMEA_1.2.3.tgz(r-4.3-any)
rMEA_1.2.3.tar.gz(r-4.5-noble)rMEA_1.2.3.tar.gz(r-4.4-noble)
rMEA_1.2.3.tgz(r-4.4-emscripten)rMEA_1.2.3.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 2 years agofrom:af9a64c56d. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | WARNING | Nov 17 2024 |
R-4.5-linux | WARNING | Nov 17 2024 |
R-4.4-win | WARNING | Nov 17 2024 |
R-4.4-mac | WARNING | Nov 17 2024 |
R-4.3-win | WARNING | Nov 17 2024 |
R-4.3-mac | WARNING | Nov 17 2024 |
Exports:CCFartefactsccfResNamescohens_ddiagnosticPlotgetCCFgroupidis.MEAis.MEAlistlagNamesMEAMEAccfMEAdistplotMEAheatmapMEAlagplotMEAlistMEAmapMEAoutlierMEAreplaceMEAscaleMEAsmoothreadMEAs1Names2NamesampRatesessionsetGroupshuffleshuffle_segmentstimeMasteruidwriteMEA
Dependencies: