Article ID Journal Published Year Pages File Type
6870566 Computational Statistics & Data Analysis 2014 21 Pages PDF
Abstract
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.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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