Package: DImodelsVis
Title: Visualising and Interpreting Statistical Models Fit to
        Compositional Data
Version: 1.0.5
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: 8.0.0
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: 2026-06-29 14:56:43 UTC; root
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: https://cran.r-universe.dev
Date/Publication: 2026-06-29 14:30:22 UTC
RemoteUrl: https://github.com/cran/DImodelsVis
RemoteRef: HEAD
RemoteSha: 01d2c573ff8beecf775168af193a2692ee08651b