Package: tseriesEntropy 0.7-0

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 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

tseriesEntropy_0.7-0.tar.gz
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tseriesEntropy_0.7-0.tgz(r-4.4-x86_64)tseriesEntropy_0.7-0.tgz(r-4.4-arm64)tseriesEntropy_0.7-0.tgz(r-4.3-x86_64)tseriesEntropy_0.7-0.tgz(r-4.3-arm64)
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tseriesEntropy.pdf |tseriesEntropy.html
tseriesEntropy/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/sgiannerini/tseriesentropy/issues

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

On CRAN:

3.00 score 20 scripts 190 downloads 16 exports 14 dependencies

Last updated 3 years agofrom:48bd5eca1d. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-win-x86_64OKNov 05 2024
R-4.5-linux-x86_64OKNov 05 2024
R-4.4-win-x86_64OKNov 05 2024
R-4.4-mac-x86_64OKNov 05 2024
R-4.4-mac-aarch64OKNov 05 2024
R-4.3-win-x86_64OKNov 05 2024
R-4.3-mac-x86_64OKNov 05 2024
R-4.3-mac-aarch64OKNov 05 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