Journal
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Volume 71, Issue -, Pages 934-954Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.csda.2013.04.009
Keywords
Singular Spectrum Analysis; Time series; Time series analysis; Forecasting; Frequency estimation; R package
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Singular Spectrum Analysis (SSA) is a powerful tool of analysis and forecasting of time series. The main features of the RSSA package, which efficiently implements the SSA algorithms and methodology in R, are described. Analysis, forecasting and parameter estimation are demonstrated using case studies. These studies are supplemented with accompanying code fragments. (C) 2013 Elsevier B.V. All rights reserved.
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