Package: CNLTtsa 0.1-2
Matt Nunes
CNLTtsa: Complex-Valued Wavelet Lifting for Univariate and Bivariate Time Series Analysis
Implementations of recent complex-valued wavelet spectral procedures for analysis of irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.
Authors:
CNLTtsa_0.1-2.tar.gz
CNLTtsa_0.1-2.tar.gz(r-4.5-noble)CNLTtsa_0.1-2.tar.gz(r-4.4-noble)
CNLTtsa_0.1-2.tgz(r-4.4-emscripten)CNLTtsa_0.1-2.tgz(r-4.3-emscripten)
CNLTtsa.pdf |CNLTtsa.html✨
CNLTtsa/json (API)
# Install 'CNLTtsa' in R: |
install.packages('CNLTtsa', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:9dca12e6f4. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 27 2024 |
R-4.5-linux | OK | Nov 27 2024 |
Exports:cnlt.bivcnlt.speccnlt.spec.DGcnlt.spec.SGcnlt.univcnltspec.plotpre.perpre.per.combpre.per.samplesmooth.over.scalesmooth.over.time
Dependencies:adliftCNLTregdigestdotCall64EbayesThreshfieldsmapsMASSmiscToolsnltRcppspamviridisLitewavethresh