Package: bullseye
Title: Visualising Multiple Pairwise Variable Correlations and Other
        Scores
Version: 1.0.1
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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
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
Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev make libicu-dev libpng-dev libuv1-dev
Repository: https://cbhurley.r-universe.dev
Date/Publication: 2026-03-04 10:32:00 UTC
RemoteUrl: https://github.com/cbhurley/bullseye
RemoteRef: HEAD
RemoteSha: d942bd1592dd3f04a73c362a2d01fcffd131f563
NeedsCompilation: no
Packaged: 2026-07-02 07:51:02 UTC; root
Author: Amit Chinwan [aut],
  Catherine Hurley [aut, cre]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>