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 [aut, cre] |
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.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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