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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.
Package details |
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| 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> |
| License | GPL (>= 3) |
| Version | 1.0.3 |
| URL | https://rishvish.github.io/DImodelsVis/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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