Wavelet Approaches to Studies of Synchrony in Ecology and Other Fields

Tools for a wavelet-based approach to analyzing spatial synchrony, principally in ecological data. Some tools will be useful for studying community synchrony. See, for instance, Sheppard et al (2016) , Sheppard et al (2017) , Sheppard et al (2019) .


Lawrence Sheppard, University of Kansas
Jonathan Walter, University of Virginia
Thomas Anderson, University of Kansas
Lei Zhao, China Agricultural University
Daniel C. Reuman, University of Kansas - maintainer

This repository provides tools for analyzing synchrony of time series from a timescale-specific viewpoint. The tools have so far principally been useful for studying spatial synchrony of population dynamics in ecology, but may be useful for a variety of other applications.

Explanations

In addition to the documentation, see the vignette, which is the best way to get started.

Installation

For a quick install of this development version: devtools::install_github(repo="reumandc/wsyn"). The install_github function, by default, will not install the vignette. There is an option for installing vignettes (build_vignettes=TRUE), but it seems finicky. You can also clone the repository and use devtools::install() to install from your local clone. The build_vignettes=TRUE option seems to work better for devtools::install than it does for devtools::install_github. If you have trouble, please email me.

Running all tests

Some of the more intensive tests are skipped unless there is a variable in the global environment called RUN_INTENSIVE_TESTS which is TRUE. This is so CRAN checks will run in the allowed time on CRAN servers, and was requested by CRAN.

News

Reference manual

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install.packages("wsyn")

1.0.1 by Daniel C. Reuman, 9 months ago


Browse source code at https://github.com/cran/wsyn


Authors: Daniel C. Reuman [aut, cre] , Thomas L. Anderson [aut] , Jonathan A. Walter [aut] , Lei Zhao [aut] , Lawrence W. Sheppard [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports fields, graphics, grDevices, MASS, stats

Suggests knitr, mvtnorm, rmarkdown, testthat, vdiffr


See at CRAN