Package: mvLSW 1.2.5

Daniel Grose

mvLSW: 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) <doi:10.1109/TSP.2014.2343937> for details.

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

mvLSW_1.2.5.tar.gz
mvLSW_1.2.5.tar.gz(r-4.7-arm64)mvLSW_1.2.5.tar.gz(r-4.7-x86_64)mvLSW_1.2.5.tar.gz(r-4.6-arm64)mvLSW_1.2.5.tar.gz(r-4.6-x86_64)
mvLSW_1.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
mvLSW/json (API)
NEWS

# Install 'mvLSW' in R:
install.packages('mvLSW', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.89 score 2 packages 13 scripts 256 downloads 9 exports 12 dependencies

Last updated from:5b990968cd. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK117
linux-devel-x86_64OK124
source / vignettesOK168
linux-release-arm64OK141
linux-release-x86_64OK119
wasm-releaseOK97

Exports:ApxCIas.mvLSWAutoCorrIPcoherenceis.mvLSWmvEWSrmvLSWSpectrum2TransfervarEWS

Dependencies:dotCall64fieldslatticemapsMASSRColorBrewerRcppspamviridisLitewavethreshxtszoo