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synchrony R package

Download and Install

To download the development version of the package, type the following at the R command line:

install.packages("devtools")
devtools::install_github("tgouhier/synchrony")

To download the release version of the package on CRAN, type the following at the R command line:

install.packages("synchrony")

About synchrony

The synchrony package contains methods for computing spatial, temporal, and spatiotemporal statistics such as:

  • empirical univariate, bivariate and multivariate variograms
  • fitting variogram models
  • phase locking and synchrony analysis
  • generating autocorrelated and cross-correlated matrices

The package is fully described in Gouhier and Guichard (2014).

References

Gouhier, T. C., and F. Guichard. 2014. Synchrony: quantifying variability in space and time. Methods in Ecology and Evolution 5:524–533.

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Install

install.packages('synchrony')

Monthly Downloads

244

Version

0.3.9

License

GPL (>= 2)

Issues

Pull Requests

Stars

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Maintainer

Tarik Gouhier

Last Published

July 21st, 2026

Functions in synchrony (0.3.9)

plot.synchrony

Plot synchrony objects
surrogate.ts

Create surrogate time series via Markov process
plot.variofit

Plot variofit objects
vario.func

vario.func
phase.sync

Phase synchrony of quasi-periodic time series
plot.vario

Plot vario objects
pisco.data

PISCO multi-year and spatially-explicit mussel and environmental dataset
vario.fit

vario.fit
vario

vario
synchrony-package

Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics
phase.partnered

Phase partnered time series
community.sync

Compute community-wide synchrony and its significance via Monte Carlo randomizations
latlon2dist

latlon2dist
meancorr

Compute mean column-wise correlation and determine its significance via Monte Carlo randomizations
kendall.w

Kendall's W
peaks

Find the proportion of local minima/maxima common to both time series and compute its significance via Monte Carlo randomizations
correlated.matrix

correlated.matrix
bird.traits

bird trait dataset
coord2dist

coord2dist
find.minmax

Find min/max of a time series