Vector Wavelet Coherence for Multiple Time Series R package vectorwavelet version 0.1.0 New wavelet methodology (vector wavelet coherence) (Oygur, T., Unal, G, 2020 <doi:10.1007/s40435-020-00706-y>) to handle dynamic co-movements of multivariate time series via extending multiple and quadruple wavelet coherence methodologies. This package can be used to perform multiple wavelet coherence, quadruple wavelet coherence, and n-dimensional vector wavelet coherence analyses. Software Depends: biwavelet (>= 0.20.19) Imports: iterators, spam, maps, fields, foreach, Rcpp Suggests: knitr, rmarkdown, devtools Tunc Oygur <info@tuncoygur.com.tr> Comprehensive R Archive Network (CRAN) Tunc Oygur [aut, cre], Gazanfer Unal [aut], Tarik C. Gouhier [ctb], Aslak Grinsted [ctb], Viliam Simko [ctb] GPL (>= 2) 2021-01-13 application/tgz https://CRAN.R-project.org/package=vectorwavelet doi:10.32614/CRAN.package.vectorwavelet