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Learned Pattern Similarity (LPS) for time series. Implements a novel approach to model the dependency structure in time series that generalizes the concept of autoregression to local autopatterns. Generates a patternbased representation of time series along with a similarity measure called Learned Pattern Similarity (LPS). Introduces a generalized autoregressive kernel.This package is based on the 'randomForest' package by Andy Liaw.
Package details 


Author  Learned Pattern Similarity (LPS) for time series by Mustafa Gokce Baydogan 
Date of publication  20150327 18:54:54 
Maintainer  Mustafa Gokce Baydogan <baydoganmustafa@gmail.com> 
License  GPL (>= 2) 
Version  1.05 
URL  http://www.mustafabaydogan.com/learnedpatternsimilaritylps.html 
Package repository  View on CRAN 
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