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mvLSW (version 1.1)

mvLSW: Multivaraite, Locally Stationary Wavelet Process Estimation

Description

The mvLSW package provides an implementation of the multivaraite locally stationary time series modelling approach proposed by Park, Eckley and Ombao (2014).

The approach extends the locally stationary wavelet timeseries work of Nason, von Sachs and Kroisandt (2000) to a multivariate setting, introducing wavelet-based measures of loval coherence and local partial coherence. The package implements the estimation scheme by Park et al. (2014) for such processes. Note that mvLSW should be used in conjunction with the wavethresh package developed by Nason (1998).

Arguments

Details

Package: mvLSW

Type: Package

Version: 1.1

Date: 2017-01-30

License: GPL(>=3.2)

References

Park, T.A., Eckley, I. and Ombao, H.C. (2014) Estimating time-evolving partial coherence between signals via multivatiate locally stationary wavelet processes IEEE Transactions on Signal Processing 62(20), pp. 5240--5250.

Nason, G.P., von Sachs, R. and Kroisandt, G. (2000) Wavelet processes and adaptive estimation of the evolutionary wavelet spectrum Journal of the Royal Statistical Society B 62, pp. 271--292.

Nason, G. (2016) wavethresh: Wavelets Statistics and Transforms. R package version 4.6.8. https://CRAN.R-project.org/package=wavethresh

See Also

mvEWS, coherence, rmvLSW as.mvLSW, mvEWS

Examples

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