Package: DImodelsVis
Title: Visualising and Interpreting Statistical Models Fit to
        Compositional Data
Version: 1.0.4
Authors@R: 
    c(person("Rishabh", "Vishwakarma", email = "vishwakr@tcd.ie", role = c("aut", "cre"),
             comment = c(ORCID = "0000-0002-4847-3494")),
      person("Caroline", "Brophy", role = "aut"),
      person("Laura", "Byrne", role = "aut"),
      person("Catherine", "Hurley", role = "aut"))
Description: Statistical models fit to compositional data are often difficult to interpret due to the sum to 1 constraint on data variables. 'DImodelsVis' provides novel visualisations tools to aid with the interpretation of models fit to compositional data. All visualisations in the package are created using the 'ggplot2' plotting framework and can be extended like every other 'ggplot' object.
License: GPL (>= 3)
Encoding: UTF-8
Imports: cli, colorspace, DImodels (>= 1.3.3), dplyr (>= 1.0.0),
        forcats, ggfortify, ggplot2, ggtext (>= 0.1.2), glue,
        grDevices, insight, methods, metR, PieGlyph, plotwidgets,
        rlang, scales, stats, tidyr, utils
RoxygenNote: 7.3.2
Suggests: DImodelsMulti (>= 1.0.0), knitr, rmarkdown, spelling, plotly,
        randomForest, cowplot, nnet, testthat (>= 3.0.0), vdiffr
URL: https://rishvish.github.io/DImodelsVis/
VignetteBuilder: knitr
Language: en-US
Config/testthat/edition: 3
Config/Needs/website: rmarkdown
NeedsCompilation: no
Packaged: 2025-10-07 14:08:38 UTC; RVISHWAK
Author: Rishabh Vishwakarma [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4847-3494>),
  Caroline Brophy [aut],
  Laura Byrne [aut],
  Catherine Hurley [aut]
Maintainer: Rishabh Vishwakarma <vishwakr@tcd.ie>
Repository: CRAN
Date/Publication: 2025-10-08 11:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:39:50 UTC; unix
