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Computing and plotting the distance covariance and correlation function of a univariate or a multivariate time series. Both versions of biased and unbiased estimators of distance covariance and correlation are provided. Test statistics for testing pairwise independence are also implemented. Some data sets are also included. References include: a) Edelmann Dominic, Fokianos Konstantinos and Pitsillou Maria (2019). 'An Updated Literature Review of Distance Correlation and Its Applications to Time Series'. International Statistical Review, 87(2): 237–262. <doi:10.1111/insr.12294>. b) Fokianos Konstantinos and Pitsillou Maria (2018). 'Testing independence for multivariate time series via the auto-distance correlation matrix'. Biometrika, 105(2): 337–352. <doi:10.1093/biomet/asx082>. c) Fokianos Konstantinos and Pitsillou Maria (2017). 'Consistent testing for pairwise dependence in time series'. Technometrics, 59(2): 262–270. <doi:10.1080/00401706.2016.1156024>. d) Pitsillou Maria and Fokianos Konstantinos (2016). 'dCovTS: Distance Covariance/Correlation for Time Series'. R Journal, 8(2):324-340. <doi:10.32614/RJ-2016-049>.
Version: | 1.4 |
Depends: | R (≥ 4.0) |
Imports: | dcov, doParallel, foreach, parallel, Rfast, Rfast2 |
Published: | 2023-09-28 |
DOI: | 10.32614/CRAN.package.dCovTS |
Author: | Michail Tsagris [aut, cre], Maria Pitsillou [aut, cph], Konstantinos Fokianos [aut] |
Maintainer: | Michail Tsagris <mtsagris at uoc.gr> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
In views: | TimeSeries |
CRAN checks: | dCovTS results |
Reference manual: | dCovTS.pdf |
Package source: | dCovTS_1.4.tar.gz |
Windows binaries: | r-devel: dCovTS_1.4.zip, r-release: dCovTS_1.4.zip, r-oldrel: dCovTS_1.4.zip |
macOS binaries: | r-release (arm64): dCovTS_1.4.tgz, r-oldrel (arm64): dCovTS_1.4.tgz, r-release (x86_64): dCovTS_1.4.tgz, r-oldrel (x86_64): dCovTS_1.4.tgz |
Old sources: | dCovTS archive |
Please use the canonical form https://CRAN.R-project.org/package=dCovTS to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.