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.

Version:	0.1.0
Imports:	stats, dplyr, cli, rlang, ggplot2, labeling, ggiraph, DendSer, tidyr, polycor
Suggests:	DescTools, acepack, energy, linkspotter, minerva, scagnostics, testthat (≥ 3.0.0), knitr, rmarkdown, correlation, palmerpenguins, kableExtra, openintro, corrplot
Published:	2024-08-28
DOI:	10.32614/CRAN.package.bullseye
Author:	Amit Chinwan [aut], Catherine Hurley [aut, cre]
Maintainer:	Catherine Hurley <catherine.hurley at mu.ie>
License:	MIT + file LICENSE
URL:	https://cbhurley.github.io/bullseye/, https://github.com/cbhurley/bullseye
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	bullseye results

Documentation:

Reference manual:	bullseye.pdf
Vignettes:	Calculating pairwise scores using bullseye. (source, R code) Integrating bullseye with other packages. (source, R code) Visualising pairwise scores using bullseye. (source, R code)

Downloads:

Package source:	bullseye_0.1.0.tar.gz
Windows binaries:	r-devel: bullseye_0.1.0.zip, r-release: bullseye_0.1.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): bullseye_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): bullseye_0.1.0.tgz, r-oldrel (x86_64): not available

Linking:

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