The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

wv: Wavelet Variance

Provides a series of tools to compute and plot quantities related to classical and robust wavelet variance for time series and regular lattices. More details can be found, for example, in Serroukh, A., Walden, A.T., & Percival, D.B. (2000) <doi:10.2307/2669537> and Guerrier, S. & Molinari, R. (2016) <doi:10.48550/arXiv.1607.05858>.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: Rcpp, simts, utils, grDevices, coda, methods, graphics, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2023-08-31
DOI: 10.32614/CRAN.package.wv
Author: Stéphane Guerrier [aut, cre], James Balamuta [aut], Justin Lee [aut], Roberto Molinari [aut], Yuming Zhang [aut], Mucyo Karemera [aut], Nathanael Claussen [ctb], Haotian Xu [ctb], Lionel Voirol [ctb]
Maintainer: Stéphane Guerrier <stef.guerrier at gmail.com>
BugReports: https://github.com/SMAC-Group/wv/issues
License: AGPL-3
URL: https://github.com/SMAC-Group/wv
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: wv results

Documentation:

Reference manual: wv.pdf

Downloads:

Package source: wv_0.1.2.tar.gz
Windows binaries: r-devel: wv_0.1.2.zip, r-release: wv_0.1.2.zip, r-oldrel: wv_0.1.2.zip
macOS binaries: r-release (arm64): wv_0.1.2.tgz, r-oldrel (arm64): wv_0.1.2.tgz, r-release (x86_64): wv_0.1.2.tgz, r-oldrel (x86_64): wv_0.1.2.tgz
Old sources: wv archive

Reverse dependencies:

Reverse imports: gmwmx

Linking:

Please use the canonical form https://CRAN.R-project.org/package=wv 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.
Health stats visible at Monitor.