Implements an Entropy measure of dependence based on the Bhattacharya-Hellinger-Matusita distance. Can be used as a (nonlinear) autocorrelation/crosscorrelation function for continuous and categorical time series. The package includes tests for serial and cross 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.
| Version: | 0.7-2 | 
| Depends: | R (≥ 2.14.0) | 
| Imports: | cubature, methods, parallel, stats, graphics, ks | 
| Suggests: | knitr, rmarkdown | 
| Published: | 2023-08-09 | 
| DOI: | 10.32614/CRAN.package.tseriesEntropy | 
| Author: | Simone Giannerini | 
| Maintainer: | Simone Giannerini <simone.giannerini at unibo.it> | 
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] | 
| NeedsCompilation: | yes | 
| Citation: | tseriesEntropy citation info | 
| Materials: | README, NEWS | 
| In views: | TimeSeries | 
| CRAN checks: | tseriesEntropy results | 
| Reference manual: | tseriesEntropy.html , tseriesEntropy.pdf | 
| Package source: | tseriesEntropy_0.7-2.tar.gz | 
| Windows binaries: | r-devel: tseriesEntropy_0.7-2.zip, r-release: tseriesEntropy_0.7-2.zip, r-oldrel: tseriesEntropy_0.7-2.zip | 
| macOS binaries: | r-release (arm64): tseriesEntropy_0.7-2.tgz, r-oldrel (arm64): tseriesEntropy_0.7-2.tgz, r-release (x86_64): tseriesEntropy_0.7-2.tgz, r-oldrel (x86_64): tseriesEntropy_0.7-2.tgz | 
| Old sources: | tseriesEntropy archive | 
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