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) <arXiv:1607.05858>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: Rcpp, simts, utils, grDevices, coda, methods, graphics, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2020-01-16
Author: Stéphane Guerrier [aut, cre], James Balamuta [aut], Justin Lee [aut], Roberto Molinari [aut], Yuming Zhang [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


Reference manual: wv.pdf


Package source: wv_0.1.1.tar.gz
Windows binaries: r-devel: wv_0.1.1.zip, r-devel-UCRT: wv_0.1.1.zip, r-release: wv_0.1.1.zip, r-oldrel: wv_0.1.1.zip
macOS binaries: r-release (arm64): wv_0.1.1.tgz, r-release (x86_64): wv_0.1.1.tgz, r-oldrel: wv_0.1.1.tgz
Old sources: wv archive


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