Package: bullseye
Title: Visualising Multiple Pairwise Variable Correlations and Other
        Scores
Version: 1.0.0
Authors@R: 
    c(person(given = "Amit", family = "Chinwan", email = "amit.chinwan.2019@mumail.ie", role = c("aut")),
    person(given = "Catherine", family = "Hurley", email = "catherine.hurley@mu.ie", role = c("aut", "cre")))
Description: 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.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: stats, dplyr, cli, rlang, ggplot2, labeling, ggiraph, DendSer,
        tidyr, polycor, colorspace
Suggests: DescTools, acepack, energy, linkspotter, minerva,
        scagnostics, testthat (>= 3.0.0), knitr, rmarkdown,
        correlation, palmerpenguins, kableExtra, openintro, corrplot
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://cbhurley.github.io/bullseye/,
        https://github.com/cbhurley/bullseye
NeedsCompilation: no
Packaged: 2025-05-09 09:53:02 UTC; catherine
Author: Amit Chinwan [aut],
  Catherine Hurley [aut, cre]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>
Repository: CRAN
Date/Publication: 2025-05-09 10:10:02 UTC
Built: R 4.6.0; ; 2025-09-04 03:19:30 UTC; windows
