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Singular spectrum analysis (SSA) decomposes a time series into interpretable components like trends, oscillations, and noise without strict distributional and structural assumptions. For method details see Golyandina N, Zhigljavsky A (2013). <doi:10.1007/978-3-642-34913-3>.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.6) |
| Imports: | Rssa |
| Published: | 2025-09-22 |
| DOI: | 10.32614/CRAN.package.SSAforecast |
| Author: | Prabhat Kumar [aut, ctb], Girish Kumar Jha [aut, ths, ctb], Rajeev Ranjan Kumar [aut, ctb, cre] |
| Maintainer: | Rajeev Ranjan Kumar <rrk.uasd at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | SSAforecast results |
| Reference manual: | SSAforecast.html , SSAforecast.pdf |
| Package source: | SSAforecast_0.1.1.tar.gz |
| Windows binaries: | r-devel: SSAforecast_0.1.1.zip, r-release: SSAforecast_0.1.1.zip, r-oldrel: SSAforecast_0.1.1.zip |
| macOS binaries: | r-release (arm64): SSAforecast_0.1.1.tgz, r-oldrel (arm64): SSAforecast_0.1.1.tgz, r-release (x86_64): SSAforecast_0.1.1.tgz, r-oldrel (x86_64): SSAforecast_0.1.1.tgz |
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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.