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Distance Covariance and Correlation for Time Series Analysis

0packages depend
5.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.5
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Description cites an R Journal article
Help pages
13includes a package overview page
Examples that run
67%8 run in a plain check · 4 hold no code
Exported functions with examples
100%
Documented parameters
95%
Return-value docs
100%
Help pages citing references
100%

Downloads

5.4K
CRAN downloads in the past year
Rank #6,540 · ~15/day · ~451/mo
Daily download trend is not available in this view yet.
46930 days
1.3K90 days
5.4K1 year
Compare downloads with other packages →
Also on115 r2u6 autocran128 c2d4u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing dCovTS adds 13 packages (9 with compiled code, 19 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 4.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.2 (2021) · added in 1.2
Author, Copyright holder

Previously maintained by Maria Pitsillou (1.0 to 1.1).

Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.5Latest
    record
    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
    record
    2023-09-28 · diff ↗ ·
    added 1 export
    .onAttach
  • R
    R 4.3.0 released · 2023-04-21
  • 1.3
    record
    2022-06-28 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.2
    record
    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
    record
    2016-09-21 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
Show 2 earlier eventsHide 2 earlier events
  • 1.0
    record
    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
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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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