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 Config/pak/sysreqs: libabsl-dev libcairo2-dev cmake libfontconfig1-dev libfreetype6-dev libgdal-dev gdal-bin libgeos-dev make libicu-dev libjpeg-dev libpng-dev libuv1-dev libxml2-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev Repository: https://rishvish.r-universe.dev Date/Publication: 2026-06-29 18:01:33 UTC RemoteUrl: https://github.com/rishvish/dimodelsvis RemoteRef: HEAD RemoteSha: 3fa37bca8f14c856c05311972ee852e626d6ef19 NeedsCompilation: no Packaged: 2026-06-29 20:09:10 UTC; root Author: Rishabh Vishwakarma [aut, cre] (ORCID: ), Caroline Brophy [aut], Laura Byrne [aut], Catherine Hurley [aut] Maintainer: Rishabh Vishwakarma