{ "_id": "6a1056c5acfb0bcc41ca2cf2", "Package": "DImodelsVis", "Title": "Visualising and Interpreting Statistical Models Fit to\nCompositional Data", "Version": "1.0.4", "Authors@R": "c(person(\"Rishabh\", \"Vishwakarma\", email = \"vishwakr@tcd.ie\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-4847-3494\")),\nperson(\"Caroline\", \"Brophy\", role = \"aut\"),\nperson(\"Laura\", \"Byrne\", role = \"aut\"),\nperson(\"Catherine\", \"Hurley\", role = \"aut\"))", "Description": "Statistical models fit to compositional data are often\ndifficult to interpret due to the sum to 1 constraint on data\nvariables. 'DImodelsVis' provides novel visualisations tools to\naid with the interpretation of models fit to compositional\ndata. All visualisations in the package are created using the\n'ggplot2' plotting framework and can be extended like every\nother 'ggplot' object.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "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\nlibfreetype6-dev libgdal-dev gdal-bin libgeos-dev make\nlibicu-dev libjpeg-dev libpng-dev libuv1-dev libxml2-dev\nlibssl-dev libproj-dev libsqlite3-dev libudunits2-dev", "Repository": "https://rishvish.r-universe.dev", "Date/Publication": "2025-10-09 11:21:52 UTC", "RemoteUrl": "https://github.com/rishvish/dimodelsvis", "RemoteRef": "HEAD", "RemoteSha": "cc200d979df3a6de08e9cd7ca58a1f43966fef46", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-09 07:36:32 UTC", "User": "root" }, "Author": "Rishabh Vishwakarma [aut, cre] 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ternary diagrams", "topics": [ "grouped_ternary" ] }, { "page": "grouped_ternary_data", "title": "Prepare data for grouped ternary diagrams", "topics": [ "grouped_ternary_data" ] }, { "page": "grouped_ternary_plot", "title": "Grouped ternary diagrams", "topics": [ "grouped_ternary_plot" ] }, { "page": "model_diagnostics", "title": "DI specific wrapper of diagnostics plots for regression models with compositional predictors", "topics": [ "model_diagnostics" ] }, { "page": "model_diagnostics_data", "title": "Data preparation of diagnostics plots for regression models with compositional predictors", "topics": [ "model_diagnostics_data" ] }, { "page": "model_diagnostics_plot", "title": "Diagnostics plots for regression models with compositional predictors", "topics": [ "model_diagnostics_plot" ] }, { "page": "model_selection", "title": "DI specific wrapper for visualising model selection", "topics": [ "model_selection" ] }, { "page": "model_selection_data", "title": "Prepare data for 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