The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| Reference manual: | Rssa.pdf |
| Package source: | Rssa_1.1.tar.gz |
| Windows binaries: | r-devel: Rssa_1.1.zip, r-release: Rssa_1.1.zip, r-oldrel: Rssa_1.1.zip |
| macOS binaries: | r-release (arm64): Rssa_1.1.tgz, r-oldrel (arm64): Rssa_1.1.tgz, r-release (x86_64): Rssa_1.1.tgz, r-oldrel (x86_64): Rssa_1.1.tgz |
| Old sources: | Rssa archive |
| Reverse imports: | msltrend, Rfssa, TrendSLR, VisitorCounts |
| Reverse suggests: | DecomposeR |
Please use the canonical form https://CRAN.R-project.org/package=Rssa to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.