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ConNEcT

0.7.27

Contingency Measure-Based Networks for Binary Time Series

0packages depend
3.1Kdownloads / year
test coverage
12/13checks pass

Overview

About
Maintained by Nadja BodnerFirst published 2021-11-022 releasesCRAN page ↗

The ConNEcT approach investigates the pairwise association strength of binary time series by calculating contingency measures and depicts the results in a network. The package includes features to explore and visualize the data. To calculate the pairwise concurrent or temporal sequenced relationship between the variables, the package provides seven contingency measures (proportion of agreement, classical & corrected Jaccard, Cohen's kappa, phi correlation coefficient, odds ratio, and log odds ratio), however, others can easily be implemented. The package also includes non-parametric significance tests, that can be applied to test whether the contingency value quantifying the relationship between the variables is significantly higher than chance level. Most importantly this test accounts for auto-dependence and relative frequency.See Bodner et al.(2021) <doi: 10.1111/bmsp.12222>.Finally, a network can be drawn. Variables depicted the nodes of the network, with the node size adapted to the prevalence. The association strength between the variables defines the undirected (concurrent) or directed (temporal sequenced) links between the nodes. The results of the non-parametric significance test can be included by depicting either all links or only the significant ones. Tutorial see Bodner et al.(2021) doi:10.3758/s13428-021-01760-w.

Install

Health

CRAN checks
1NOTE12OK
Failing flavors
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Slowest check: 3.8 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 2 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
12%

Downloads

3.1K
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Rank #14,014 · ~9/day · ~262/mo
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20430 days
73890 days
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Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (3)
qgraphstatsgraphics
LinkingTo (0)
none
Suggests (3)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (1)
Contributor, Reviewer
Reviewers (1)
Contributor, Reviewer
Package Timeline

2 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
  • 0.7.27Latest
    2022-05-09 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.7.26
    2021-11-02
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-11-02
Total releases
2 / 5 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
1.2 KB / 3 files
Download size
22 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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