Package: tseriesEntropy
Title: Entropy Based Analysis and Tests for Time Series
Version: 0.7-2
Authors@R: c(
   person('Simone', 'Giannerini', email = 'simone.giannerini@unibo.it', role = c('aut','cre'),
    comment = c(ORCID = '0000-0002-0710-668X'))
    )
Depends: R (>= 2.14.0)
Imports: cubature, methods, parallel, stats, graphics, ks
Suggests: knitr, rmarkdown
LazyLoad: yes
Encoding: UTF-8
Description: 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.
Maintainer: Simone Giannerini <simone.giannerini@unibo.it>
License: GPL (>= 2)
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2023-08-09 15:00:11 UTC; simone.giannerini2
Author: Simone Giannerini [aut, cre] (<https://orcid.org/0000-0002-0710-668X>)
Repository: CRAN
Date/Publication: 2023-08-09 20:40:08 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 12:38:54 UTC; unix
Archs: tseriesEntropy.so.dSYM
