Pattern Sequence Based Forecasting (PSF) takes univariate time series data as input and assist to forecast its future values. This algorithm forecasts the behavior of time series based on similarity of pattern sequences. Initially, clustering is done with the labeling of samples from database. The labels associated with samples are then used for forecasting the future behaviour of time series data. The further technical details and references regarding PSF are discussed in Vignette.
Package details 


Author  Neeraj Bokde, Gualberto AsencioCortes and Francisco MartinezAlvarez 
Maintainer  Neeraj Bokde <[email protected]> 
License  GPL (>= 2) 
Version  0.3 
URL  http://www.neerajbokde.com/cran/psf 
Package repository  View on GitHub 
Installation 
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