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:Jean Hamilton [aut], Matt Nunes [aut, cre], Marina Knight [ctb], Piotr Fryzlewicz [ctb]

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'))

Peer review:

Datasets:
  • Baidu - End of second returns for Google from 1st March 2011
  • Google - End of second returns for Google from 1st March 2011

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 202 downloads 11 exports 14 dependencies

Last updated 6 years agofrom:9dca12e6f4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-linuxOKOct 28 2024

Exports:cnlt.bivcnlt.speccnlt.spec.DGcnlt.spec.SGcnlt.univcnltspec.plotpre.perpre.per.combpre.per.samplesmooth.over.scalesmooth.over.time

Dependencies:adliftCNLTregdigestdotCall64EbayesThreshfieldsmapsMASSmiscToolsnltRcppspamviridisLitewavethresh