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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) <doi:10.1109/TSP.2014.2343937> for details.
Version: | 1.2.5 |
Depends: | R (≥ 3.2), fields, wavethresh, xts, zoo, methods |
Published: | 2022-06-14 |
DOI: | 10.32614/CRAN.package.mvLSW |
Author: | Simon Taylor [aut], Tim Park [aut], Idris Eckley [ths], Rebecca Killick [ctb], Daniel Grose [aut, cre] |
Maintainer: | Daniel Grose <dan.grose at lancaster.ac.uk> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
Citation: | mvLSW citation info |
Materials: | NEWS |
In views: | TimeSeries |
CRAN checks: | mvLSW results |
Reference manual: | mvLSW.pdf |
Package source: | mvLSW_1.2.5.tar.gz |
Windows binaries: | r-devel: mvLSW_1.2.5.zip, r-release: mvLSW_1.2.5.zip, r-oldrel: mvLSW_1.2.5.zip |
macOS binaries: | r-release (arm64): mvLSW_1.2.5.tgz, r-oldrel (arm64): mvLSW_1.2.5.tgz, r-release (x86_64): mvLSW_1.2.5.tgz, r-oldrel (x86_64): mvLSW_1.2.5.tgz |
Old sources: | mvLSW archive |
Reverse depends: | mvLSWimpute |
Reverse imports: | AnomalyScore |
Please use the canonical form https://CRAN.R-project.org/package=mvLSW to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.