Movatterモバイル変換


[0]ホーム

URL:


tseriesEntropy: Entropy Based Analysis and Tests for Time Series

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 GianneriniORCID iD [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

Documentation:

Reference manual:tseriesEntropy.html ,tseriesEntropy.pdf

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tseriesEntropyto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp