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:Johann R. Kleinbub, Fabian Ramseyer

rMEA_1.3.0.tar.gz
rMEA_1.3.0.zip(r-4.7)rMEA_1.3.0.zip(r-4.6)rMEA_1.3.0.zip(r-4.5)
rMEA_1.3.0.tgz(r-4.6-any)rMEA_1.3.0.tgz(r-4.5-any)
rMEA_1.3.0.tar.gz(r-4.7-any)rMEA_1.3.0.tar.gz(r-4.6-any)
rMEA_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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

On CRAN:

Conda:

4.74 score 16 stars 23 scripts 773 downloads 3 mentions 32 exports 6 dependencies

Last updated from:16bdb24e8c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK205
linux-release-x86_64OK113
macos-release-arm64OK135
macos-oldrel-arm64OK191
windows-develOK81
windows-releaseOK71
windows-oldrelOK70
wasm-releaseOK102

Exports:CCFartefactsccfResNamescohens_ddiagnosticPlotgetCCFgroupidis.MEAis.MEAlistlagNamesMEAMEAccfMEAdistplotMEAheatmapMEAlagplotMEAlistMEAmapMEAoutlierMEAreplaceMEAscaleMEAsmoothreadMEAs1Names2NamesampRatesessionsetGroupshuffleshuffle_segmentstimeMasteruidwriteMEA

Dependencies:codetoolsdata.tabledoSNOWforeachiteratorssnow