Package: qfa 4.0
qfa: Quantile-Frequency Analysis (QFA) of Time Series
Quantile-frequency analysis (QFA) of time series based on trigonometric quantile regression. Spline quantile regression (SQR) for regression coefficient estimation. References: [1] Li, T.-H. (2012) "Quantile periodograms", Journal of the American Statistical Association, 107, 765–776, <doi:10.1080/01621459.2012.682815>. [2] Li, T.-H. (2014) Time Series with Mixed Spectra, CRC Press, <doi:10.1201/b15154> [3] Li, T.-H. (2022) "Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra", <doi:10.48550/arXiv.2211.05844>. [4] Li, T.-H. (2024) "Quantile crossing spectrum and spline autoregression estimation," <doi:10.48550/arXiv.2412.02513>. [5] Li, T.-H. (2024) "Spline autoregression method for estimation of quantile spectrum", <doi:10.48550/arXiv.2412.17163>.
Authors:
qfa_4.0.tar.gz
qfa_4.0.tar.gz(r-4.5-noble)qfa_4.0.tar.gz(r-4.4-noble)
qfa_4.0.tgz(r-4.4-emscripten)qfa_4.0.tgz(r-4.3-emscripten)
qfa.pdf |qfa.html✨
qfa/json (API)
# Install 'qfa' in R: |
install.packages('qfa', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ibm/qfa/issues
- birthweight - Birthweight data
- engel - Engel food expenditure data
- yearssn - Yearly sunspot numbers
Last updated 24 days agofrom:b47e50a13d. Checks:2 OK. Indexed: no.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 08 2025 |
R-4.5-linux-x86_64 | OK | Jan 08 2025 |
Exports:perqacfqcserqdftqdft2qacfqdft2qperqdft2qserqfa.plotqkl.divergenceqperqper2qserqser2arqser2qacfqser2sarqspec.arqspec.lwqspec.sarqspec2qcohsar.eq.bootstrapsar.eq.testsar.gc.bootstrapsar.gc.coefsar.gc.testsqdftsqdft.fitsqrsqr.fitsqr.fit.optimtqr.fittsqr.fit
Dependencies:codetoolscolorRampsdoParalleldotCall64fieldsforeachiteratorslatticemapsMASSMatrixMatrixModelsmgcvnlmequantregRcppRhpcBLASctlspamSparseMsurvivalviridisLite