Package: qfa 2.1
qfa: Quantile-Frequency Analysis (QFA) of Time Series
Quantile-frequency analysis (QFA) of univariate or multivariate time series based on trigonometric quantile regression. See Li, T.-H. (2012) "Quantile periodograms", Journal of the American Statistical Association, 107, 765–776, <doi:10.1080/01621459.2012.682815>; Li, T.-H. (2014) Time Series with Mixed Spectra, CRC Press, <doi:10.1201/b15154>; Li, T.-H. (2022) "Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra", <doi:10.48550/arXiv.2211.05844>.
Authors:
qfa_2.1.tar.gz
qfa_2.1.zip(r-4.5)qfa_2.1.zip(r-4.4)qfa_2.1.zip(r-4.3)
qfa_2.1.tgz(r-4.4-x86_64)qfa_2.1.tgz(r-4.4-arm64)qfa_2.1.tgz(r-4.3-x86_64)qfa_2.1.tgz(r-4.3-arm64)
qfa_2.1.tar.gz(r-4.5-noble)qfa_2.1.tar.gz(r-4.4-noble)
qfa_2.1.tgz(r-4.4-emscripten)qfa_2.1.tgz(r-4.3-emscripten)
qfa.pdf |qfa.html✨
qfa/json (API)
# Install 'qfa' in R: |
install.packages('qfa', repos = c('https://thl2019.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ibm/qfa/issues
Last updated 1 years agofrom:c14f9cf655. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
R-4.4-win-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-aarch64 | OK | Nov 07 2024 |
R-4.3-win-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:ar2qspecqacfqdftqdft2qacfqdft2qperqdft2qserqfa.plotqkl.divergenceqperqper2qserqser2arqser2sarqsmooth.qdftqsmooth.qperqspec.arqspec.lwqspec.lwqsqspec.qslwqspec.sarqspec.sqrlwqspec2qcohsar.eq.bootstrapsar.eq.testsar.gc.bootstrapsar.gc.coefsar.gc.testsqdftsqr.fittqr.fittsqr.fit
Dependencies:codetoolscolorRampsdoParalleldotCall64fieldsforeachiteratorslatticemapsMASSMatrixMatrixModelsmgcvnlmequantregRcppRhpcBLASctlspamSparseMsurvivalviridisLite