Package: Rssa
Type: Package
Title: A Collection of Methods for Singular Spectrum Analysis
Version: 1.1
Depends: R (>= 3.1), svd (>= 0.4), forecast
Imports: lattice, methods
Suggests: testthat (>= 0.7), RSpectra, PRIMME, irlba
SystemRequirements: fftw (>=3.2)
Author: Anton Korobeynikov [aut, cre],
  Alex Shlemov [aut],
  Konstantin Usevich [aut],
  Nina Golyandina [aut]
Maintainer: Anton Korobeynikov <anton@korobeynikov.info>
Authors@R: c(person(given = "Anton",
                    family = "Korobeynikov",
                    role = c("aut", "cre"),
                    email = "anton@korobeynikov.info"),
             person(given = "Alex",
                    family = "Shlemov",
                    role = "aut"),
             person(given = "Konstantin",
                    family = "Usevich",
                    role = "aut"),
             person(given = "Nina",
                    family = "Golyandina",
                    role = "aut"))
Description: 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.
License: GPL (>= 2)
URL: https://github.com/asl/rssa
BugReports: https://github.com/asl/rssa/issues
Config/testthat/parallel: true
NeedsCompilation: yes
Packaged: 2024-09-04 20:53:58 UTC; asl
Repository: CRAN
Date/Publication: 2024-09-05 00:00:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 14:48:39 UTC; unix
Archs: Rssa.so.dSYM
