Package: wv 0.1.2

Stéphane Guerrier

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>.

Authors: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]

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wv.pdf |wv.html✨
wv/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/smac-group/wv/issues

On CRAN:

signal-processingtime-serieswavelet-variance

27 exports 15 stars 2.27 score 36 dependencies 1 dependents 14 scripts 186 downloads

Last updated 1 years agofrom:bc024463a4. Checks:OK: 4 NOTE: 5. Indexed: yes.

Exports:ACFar1_to_wvarma_to_wvarma11_to_wvav_ar1av_wncompare_wvarcompare_wvar_no_splitcompare_wvar_splitdecomp_theoretical_wvdecomp_to_theo_wvdr_to_wvdwtma1_to_wvmodwtqn_to_wvrobust_edarw_to_wvsp_hfiltersp_modwt_cpptheoretical_wvunitConversionwccvwccv_get_ywccv_pairwn_to_wvwvar

Dependencies:backportsbroomclicodacolorspacecpp11dplyrfansifarvergenericsgluelabelinglatticelifecyclemagrittrmunsellpillarpkgconfigpurrrR6RColorBrewerRcppRcppArmadillorlangrobcorscalessimtsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr