Package: tseriesEntropy 0.7-2

Simone Giannerini

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.

Authors:Simone Giannerini [aut, cre]

tseriesEntropy_0.7-2.tar.gz
tseriesEntropy_0.7-2.zip(r-4.7-x86_64)tseriesEntropy_0.7-2.zip(r-4.7-arm64)tseriesEntropy_0.7-2.zip(r-4.6-x86_64)tseriesEntropy_0.7-2.zip(r-4.6-arm64)
tseriesEntropy_0.7-2.tar.gz(r-4.7-arm64)tseriesEntropy_0.7-2.tar.gz(r-4.7-x86_64)tseriesEntropy_0.7-2.tar.gz(r-4.6-arm64)tseriesEntropy_0.7-2.tar.gz(r-4.6-x86_64)
tseriesEntropy_0.7-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tseriesEntropy/json (API)

# Install 'tseriesEntropy' in R:
install.packages('tseriesEntropy', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortranglibc

2.48 score 2 stars 30 scripts 375 downloads 16 exports 14 dependencies

Last updated from:9d04a8b9a2. Checks:9 OK, 1 WARNING. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK97
linux-devel-x86_64OK126
source / vignettesOK173
linux-release-arm64OK105
linux-release-x86_64OK124
windows-devel-arm64OK246
windows-devel-x86_64OK146
windows-release-arm64WARNING188
windows-release-x86_64OK106
wasm-releaseOK92

Exports:plotshowSrhoSrho.testSrho.test.ARSrho.test.AR.pSrho.test.tsSrho.test.ts.pSrho.tssurrogate.ARsurrogate.ARssurrogate.SATrho.test.ARTrho.test.AR.pTrho.test.SATrho.test.SA.p

Dependencies:cubatureFNNkernlabKernSmoothkslatticeMatrixmclustmgcvmulticoolmvtnormnlmepracmaRcpp