Multivariate Locally Stationary Wavelet Analysis with the mvLSW R Package

Taylor, Simon Allen Charles and Park, Timothy Alexander and Eckley, Idris Arthur (2019) Multivariate Locally Stationary Wavelet Analysis with the mvLSW R Package. Journal of Statistical Software, 90 (11). ISSN 1548-7660

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Abstract

This paper describes the R package mvLSW. The package contains a suite of tools for the analysis of multivariate locally stationary wavelet (LSW) time series. Key elements include: (i) the synthesis of multivariate LSW time series for a given multivariate evolutionary wavelet spectrum (EWS); (ii) estimation of the time-dependent multivariate EWS for a given time series; (iii) estimation of the time-dependent coherence and partial coherence between time series channels; and, (iv) estimation of confidence intervals for the multivariate EWS estimation. A demonstration of the package is presented via both a simulated example and a case study using the EuStockMarkets data from the R data repository.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Statistical Software
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1804
Subjects:
ID Code:
125660
Deposited By:
Deposited On:
02 Jul 2018 09:24
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Aug 2020 05:54