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dCovTS

1.5

Distance Covariance and Correlation for Time Series Analysis

0packages depend
5.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Michail TsagrisFirst published 2016-03-096 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
91%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
67%
Documented parameters
95%
Return-value docs
100%
References docs
100%

Downloads

5.1K
CRAN downloads in the past year
Rank #6,295 · ~14/day · ~422/mo
Daily download trend is not available in this view yet.
29930 days
1.3K90 days
5.1K1 year
Compare downloads with other packages →
Also on142 r2u31 autocran63 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer · added in 1.2
Authors (3)
Author, Maintainer · added in 1.2
Author, Copyright holder
Copyright holders (1)
Author, Copyright holder
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.5Latest
    2026-03-27 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.4
    2023-09-28 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.3
    2022-06-28 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.2
    2021-05-13 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.1
    2016-09-21 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
Show 2 earlier events
  • 1.0
    2016-03-09
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-03-09
Total releases
6 / 10 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Bundled data
21 KB / 2 files
Download size
50 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dCovTS")
Tsagris, M., Fokianos, K., & Pitsillou, M. (2026). dCovTS: Distance Covariance and Correlation for Time Series Analysis (Version 1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.dCovTS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for dCovTS version 1.5 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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