Methods and tools for Singular Spectrum Analysis including decomposition, forecasting and gap-filling for univariate and multivariate time series.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.1), svd (≥ 0.4), forecast |
| Imports: | lattice, methods |
| Suggests: | testthat (≥ 0.7), RSpectra, PRIMME |
| Published: | 2020-02-28 |
| Author: | Anton Korobeynikov, Alex Shlemov, Konstantin Usevich, Nina Golyandina |
| Maintainer: | Anton Korobeynikov <anton at korobeynikov.info> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://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_1.0.2.tar.gz |
| Windows binaries: | r-devel: Rssa_1.0.2.zip, r-release: Rssa_1.0.2.zip, r-oldrel: Rssa_1.0.2.zip |
| macOS binaries: | r-release: Rssa_1.0.2.tgz, r-oldrel: Rssa_1.0.2.tgz |
| Old sources: | Rssa archive |
| Reverse imports: | msltrend, Rfssa, TrendSLR |
Please use the canonical form https://CRAN.R-project.org/package=Rssa to link to this page.