Package: prefviz
Title: Visualizes Preference Data via Ternary Plots in Two and Higher
        Dimensions
Version: 0.1.1
Authors@R: c(
  person("Linh", "Ngo", email = "linhngo66.work@gmail.com", role = c("aut", "cre")),
  person("Dianne", "Cook", email = "DiCook@monash.edu", role = "aut", comment = c(ORCID = "0000-0002-3813-7155")),
  person("Damjan", "Vukcevic", email = "damjan.vukcevic@monash.edu", role = "aut", comment = c(ORCID = "0000-0001-7780-9586")))
Description: Visualises preference and ranking data by extending traditional 
    ternary plots to support high-dimensional simplexes. The package provides methods to 
    transform compositional data into coordinates suitable for 2D and high-dimensional
    ternary plots (see Cook & Laa (2024) <https://dicook.github.io/mulgar_book/>). 
    Compatibility with interactive visualization packages such as 'plotly'
    or 'detourr' allows users to explore high-dimensional preference structures dynamically.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: dplyr, prefio, tibble, tidyr, rlang, ggplot2, tidyselect,
        geozoo
Suggests: knitr, rmarkdown, tourr, kableExtra, ggthemes, testthat (>=
        3.0.0)
Config/testthat/edition: 3
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://numbats.github.io/prefviz/
BugReports: https://github.com/numbats/prefviz/issues
NeedsCompilation: no
Packaged: 2026-04-07 12:57:15 UTC; ADMIN
Author: Linh Ngo [aut, cre],
  Dianne Cook [aut] (ORCID: <https://orcid.org/0000-0002-3813-7155>),
  Damjan Vukcevic [aut] (ORCID: <https://orcid.org/0000-0001-7780-9586>)
Maintainer: Linh Ngo <linhngo66.work@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-13 11:50:02 UTC
Built: R 4.6.0; ; 2026-04-29 19:32:49 UTC; windows
