Multivariate, Locally Stationary Wavelet Process Estimation

Tools for analysing multivariate time series with wavelets. This includes: simulation of a multivariate locally stationary wavelet (mvLSW) process from a multivariate evolutionary wavelet spectrum (mvEWS); estimation of the mvEWS, local coherence and local partial coherence. See Park, Eckley and Ombao (2014) for details.


Reference manual

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install.packages("mvLSW")

1.2.5 by Daniel Grose, 4 years ago


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


Authors: Simon Taylor [aut] , Tim Park [aut] , Idris Eckley [ths] , Rebecca Killick [ctb] , Daniel Grose [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Depends on fields, wavethresh, xts, zoo, methods


Imported by AnomalyScore.

Depended on by mvLSWimpute.


See at CRAN