LPStimeSeries 1.0-5

Learned Pattern Similarity and Representation for Time Series

Released Mar 27, 2015 by Mustafa Gokce Baydogan

This package can be loaded by Renjin but 3 out 9 tests failed.


RColorBrewer 1.1-2

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 auto-patterns. Generates a pattern-based 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.



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    <name>bedatadriven public repo</name>

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This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.



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