DImodelsVis: Visualising and Interpreting Statistical Models Fit to Compositional Data

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.

Version: 1.0.1
Imports: cli, DImodels (≥ 1.3.1), dplyr (≥ 1.0.0), forcats, ggfortify, ggplot2, ggtext (≥ 0.1.2), glue, grDevices, insight, methods, metR, PieGlyph, plotwidgets, rlang, scales, stats, tidyr, utils
Suggests: DImodelsMulti (≥ 1.0.0), knitr, rmarkdown, spelling
Published: 2024-02-26
Author: Rishabh Vishwakarma ORCID iD [aut, cre], Caroline Brophy [aut], Laura Byrne [aut], Catherine Hurley [aut]
Maintainer: Rishabh Vishwakarma <vishwakr at tcd.ie>
License: GPL (≥ 3)
URL: https://rishvish.github.io/DImodelsVis/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: DImodelsVis results

Documentation:

Reference manual: DImodelsVis.pdf
Vignettes: Using DImodelsVis with regression models not fit using the DImodels package

Downloads:

Package source: DImodelsVis_1.0.1.tar.gz
Windows binaries: r-prerel: DImodelsVis_1.0.1.zip, r-release: DImodelsVis_1.0.1.zip, r-oldrel: DImodelsVis_1.0.1.zip
macOS binaries: r-prerel (arm64): DImodelsVis_1.0.1.tgz, r-release (arm64): DImodelsVis_1.0.1.tgz, r-oldrel (arm64): DImodelsVis_1.0.1.tgz, r-prerel (x86_64): DImodelsVis_1.0.1.tgz, r-release (x86_64): DImodelsVis_1.0.1.tgz
Old sources: DImodelsVis archive

Linking:

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