Package: wv 0.1.2
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:
wv_0.1.2.tar.gz
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wv.pdf |wv.html✨
wv/json (API)
NEWS
# Install 'wv' in R: |
install.packages('wv', repos = c('https://smac-group.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/smac-group/wv/issues
- adis_wv - Wavelet variance of IMU Data from an ADIS 16405 sensor
- imar_wv - Wavelet variance of IMU Data from IMAR Gyroscopes
- kvh1750_wv - Wavelet variance of IMU Data from a KVH1750 IMU sensor
- ln200_wv - Wavelet variance of IMU Data from a LN200 sensor
- navchip_wv - Wavelet variance of IMU Data from a navchip sensor
signal-processingtime-serieswavelet-variance
Last updated 1 years agofrom:bc024463a4. Checks:OK: 4 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win-x86_64 | NOTE | Nov 20 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 20 2024 |
R-4.4-win-x86_64 | NOTE | Nov 20 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 20 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 20 2024 |
R-4.3-win-x86_64 | OK | Nov 20 2024 |
R-4.3-mac-x86_64 | OK | Nov 20 2024 |
R-4.3-mac-aarch64 | OK | Nov 20 2024 |
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