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. Ramseyer & Tschacher (2011) <doi:10.1037/a0023419>.

Version: 1.2.0
Depends: R (≥ 4.0.0)
Imports: grDevices, graphics, methods, stats, utils
Published: 2020-08-04
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://www.psync.ch
NeedsCompilation: no
Citation: rMEA citation info
Materials: README NEWS
CRAN checks: rMEA results

Documentation:

Reference manual: rMEA.pdf

Downloads:

Package source: rMEA_1.2.0.tar.gz
Windows binaries: r-devel: rMEA_1.2.0.zip, r-release: rMEA_1.2.0.zip, r-oldrel: rMEA_1.2.0.zip
macOS binaries: r-release (arm64): rMEA_1.2.0.tgz, r-release (x86_64): rMEA_1.2.0.tgz, r-oldrel: rMEA_1.2.0.tgz
Old sources: rMEA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rMEA to link to this page.