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mvLSW (version 1.0)

Multivariate Locally Stationary Wavelet Analysis

Description

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

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Version

Install

install.packages('mvLSW')

Monthly Downloads

302

Version

1.0

License

GPL (>= 3)

Maintainer

Simon Taylor

Last Published

December 23rd, 2016

Functions in mvLSW (1.0)

Asymp_Quantile

Evaluate the asymptotic quantile of a mvEWS estimate
modchol

Modified cholesky decomposition.
Spectrum2Transfer

Convert between EWS and Transfer function matrices
rmvLSW

Sample a Multivariate Locally Stationary Wavelet Process
summary.mvLSW

Summary of mvLSW Object
AdjPositiveDef

Regularization of the Multivariate EWS to be Positive Definite
mvLSW

Multivariate Locally Stationary Wavelet Object
plot.mvLSW

Plot mvLSW Object