Methods and tools for Singular Spectrum Analysis including decomposition, forecasting and gap-filling for univariate and multivariate time series.
Version: | 1.0 |
Depends: | R (≥ 3.1), svd (≥ 0.4), forecast |
Imports: | lattice, methods |
Suggests: | testthat (≥ 0.7) |
Published: | 2017-10-04 |
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.tar.gz |
Windows binaries: | r-devel: Rssa_1.0.zip, r-release: Rssa_1.0.zip, r-oldrel: Rssa_1.0.zip |
OS X El Capitan binaries: | r-release: Rssa_1.0.tgz |
OS X Mavericks binaries: | r-oldrel: Rssa_1.0.tgz |
Old sources: | Rssa archive |
Reverse imports: | msltrend, spectral.methods |
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