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.tar.gz(r-4.5-noble)tseriesEntropy_0.7-2.tar.gz(r-4.4-noble)
tseriesEntropy.pdf |tseriesEntropy.html
tseriesEntropy/json (API)
NEWS

# Install 'tseriesEntropy' in R:
install.packages('tseriesEntropy', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications

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

2.00 score 1 stars 20 scripts 191 downloads 16 exports 14 dependencies

Last updated 1 years agofrom:9d04a8b9a2. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-linux-x86_64OKOct 25 2024

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