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DChaos

0.1-7

Chaotic Time Series Analysis

0packages depend
3.7Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by Julio E. SandubeteFirst published 2019-04-147 releasesCRAN page ↗

Chaos theory has been hailed as a revolution of thoughts and attracting ever increasing attention of many scientists from diverse disciplines. Chaotic systems are nonlinear deterministic dynamic systems which can behave like an erratic and apparently random motion. A relevant field inside chaos theory and nonlinear time series analysis is the detection of a chaotic behaviour from empirical time series data. One of the main features of chaos is the well known initial value sensitivity property. Methods and techniques related to test the hypothesis of chaos try to quantify the initial value sensitive property estimating the Lyapunov exponents. The DChaos package provides different useful tools and efficient algorithms which test robustly the hypothesis of chaos based on the Lyapunov exponent in order to know if the data generating process behind time series behave chaotically or not.

Install

Health

CRAN checks
13NOTE
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
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  • NOTE r-devel-windows-x86_64
  • NOTE r-oldrel-macos-arm64
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  • NOTE r-oldrel-windows-x86_64
  • NOTE r-patched-linux-x86_64
  • NOTE r-release-linux-x86_64
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  • NOTE r-release-macos-x86_64
  • NOTE r-release-windows-x86_64
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
92%

Downloads

3.7K
CRAN downloads in the past year
Rank #9,834 · ~10/day · ~310/mo
Daily download trend is not available in this view yet.
30530 days
97490 days
3.7K1 year
Compare downloads with other packages →
Also on127 r2u30 autocran38 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (5)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1-7Latest
    2023-03-29 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1-6
    2021-02-10 · diff ↗
  • 0.1-5
    2020-05-10 · diff ↗
  • 0.1-4
    2020-05-04 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1-3
    2019-10-17 · diff ↗
  • 0.1-2
    2019-05-29 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1-1
    2019-04-14
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-04-14
Total releases
7 / 7 yrs
License
GPL (>= 2) OSI
Download size
219 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("DChaos")
Sandubete, J. E., & Escot, L. (2023). DChaos: Chaotic Time Series Analysis (Version 0.1-7) [Computer software]. https://doi.org/10.32614/CRAN.package.DChaos

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 DChaos version 0.1-7 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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