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: 0.1.0
Depends: R (≥ 3.4.0)
Imports: Rcpp, simts, utils, grDevices, coda, methods, graphics, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2019-08-30
Author: Stéphane Guerrier [aut, cre], James Balamuta [aut], Justin Lee [aut], Roberto Molinari [aut], Nathanael Claussen [ctb], Haotian Xu [ctb], Yuming Zhang [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

Downloads:

Reference manual: wv.pdf
Package source: wv_0.1.0.tar.gz
Windows binaries: r-devel: wv_0.1.0.zip, r-release: wv_0.1.0.zip, r-oldrel: wv_0.1.0.zip
OS X binaries: r-release: wv_0.1.0.tgz, r-oldrel: wv_0.1.0.tgz

Linking:

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