SSAforecast: SSA Based Decomposition and Forecasting

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

Documentation:

Reference manual:

SSAforecast.html , SSAforecast.pdf

Downloads:

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

Linking:

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