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:Johann R. Kleinbub, Fabian Ramseyer

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'))

Peer review:

Bug tracker:https://github.com/kleinbub/rmea/issues

On CRAN:

4.71 score 15 stars 23 scripts 747 downloads 3 mentions 32 exports 0 dependencies

Last updated 2 years agofrom:af9a64c56d. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winWARNINGNov 17 2024
R-4.5-linuxWARNINGNov 17 2024
R-4.4-winWARNINGNov 17 2024
R-4.4-macWARNINGNov 17 2024
R-4.3-winWARNINGNov 17 2024
R-4.3-macWARNINGNov 17 2024

Exports:CCFartefactsccfResNamescohens_ddiagnosticPlotgetCCFgroupidis.MEAis.MEAlistlagNamesMEAMEAccfMEAdistplotMEAheatmapMEAlagplotMEAlistMEAmapMEAoutlierMEAreplaceMEAscaleMEAsmoothreadMEAs1Names2NamesampRatesessionsetGroupshuffleshuffle_segmentstimeMasteruidwriteMEA

Dependencies: