Methods and tools for Singular Spectrum Analysis including decomposition, forecasting and gap-filling for univariate and multivariate time series. General description of the methods with many examples can be found in the book Golyandina (2018, <doi:10.1007/978-3-662-57380-8>). See 'citation("Rssa")' for details.
Version: 1.1 Depends: R (≥ 3.1), svd (≥ 0.4), forecast Imports: lattice, methods Suggests: testthat (≥ 0.7), RSpectra, PRIMME, irlba Published: 2024-09-05 DOI: 10.32614/CRAN.package.Rssa Author: Anton Korobeynikov [aut, cre], Alex Shlemov [aut], Konstantin Usevich [aut], Nina Golyandina [aut] Maintainer: Anton Korobeynikov <anton at korobeynikov.info> BugReports: https://github.com/asl/rssa/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/asl/rssa NeedsCompilation: yes SystemRequirements: fftw (>=3.2) Citation: Rssa citation info In views: TimeSeries CRAN checks: Rssa results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=Rssa to link to this page.
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