Visualising Multiple Pairwise Variable Correlations and Other Scores
Overview
We provide a tidy data structure and visualisations for multiple or grouped variable correlations, general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables. Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.
- adjustments to work with ggplot2 v4
- added argument diag_label_size to control size of labels in plot_pairwise
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-04-06
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- ERROR13 OK, 1 ERROR2026-04-04
- OK14 OK2026-03-10
Documentation
- Help pages
- 32 (1 internal)includes a package overview page
- Examples that run
- 100%29 run in a plain check (1 of them under a condition)
- Exported functions with examples
- 97%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 9%
Downloads
Repository
- PRs merged (all time)
- 0%
- Median days to close, 50 most recently updated closed issues
- 12
- Median days to close, 50 most recently updated closed PRs
- 9
Stars over time
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7 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/cbhurley/bullseye on 2026-10-11.
GitHub Pages site last deployed 2026-03-04 · The repository has a site deploy workflow
pkgdown site last built 2026-03-04
Dependencies
Code & Tests
People & History
Package metadata
- First published
- 2024-08-28
- Total releases
- 5 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 1.2 MB
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