toygur/vectorwavelet: Vector Wavelet Coherence for Multiple Time Series

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.

Getting started

Package details

AuthorTunc Oygur [aut, cre], Gazanfer Unal [aut], Tarik C. Gouhier [ctb], Aslak Grinsted [ctb], Viliam Simko [ctb]
MaintainerTunc Oygur <info@tuncoygur.com.tr>
LicenseGPL (>=2)
Version0.1.0
URL https://github.com/toygur/vectorwavelet
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("toygur/vectorwavelet")
toygur/vectorwavelet documentation built on Jan. 19, 2021, 4:22 p.m.