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bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores
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.
Getting started
Browse package contents
Package details |
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| Author | Amit Chinwan [aut], Catherine Hurley [aut, cre] |
| Maintainer | Catherine Hurley <catherine.hurley@mu.ie> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://cbhurley.github.io/bullseye/ https://github.com/cbhurley/bullseye |
| Package repository | View on CRAN |
| Installation |
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