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tseriesEntropy — Entropy Based Analysis and Tests for Time Series

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tseriesEntropy

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The R package tseriesEntropy implements an entropy measure of dependence based on the Bhattacharya-Hellinger-Matusita distance. It can be used as a (nonlinear) autocorrelation/crosscorrelation function for continuous and categorical time series. The package includes tests for serial dependence and nonlinearity based on it. Some routines have a parallel version that can be used in a multicore/cluster environment. The package makes use of S4 classes.

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Installation

You can install the stable version on CRAN:

install.packages('tseriesEntropy')

License

This package is free and open source software, licensed under GPL.

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tseriesEntropy — Entropy Based Analysis and Tests for Time Series

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