A Collection of Methods for Singular Spectrum Analysis
Description
Methods and tools for Singular Spectrum Analysis including decomposition,
forecasting and gap-filling for univariate and multivariate time series.
General description of the methods with many examples can be found in the book
Golyandina (2018, ).
See 'citation("Rssa")' for details.