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DImodelsVis  

Visualising and Interpreting Statistical Models Fit to Compositional Data
View on CRAN: Click here


Download and install DImodelsVis package within the R console
Install from CRAN:
install.packages("DImodelsVis")

Install from Github:
library("remotes")
install_github("cran/DImodelsVis")

Install by package version:
library("remotes")
install_version("DImodelsVis", "1.0.1")



Attach the package and use:
library("DImodelsVis")
Maintained by
Rishabh Vishwakarma
[Scholar Profile | Author Map]
First Published: 2024-02-19
Latest Update: 2024-02-26
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.
How to cite:
Rishabh Vishwakarma (2024). DImodelsVis: Visualising and Interpreting Statistical Models Fit to Compositional Data. R package version 1.0.1, https://cran.r-project.org/web/packages/DImodelsVis. Accessed 21 Feb. 2025.
Previous versions and publish date:
1.0.0 (2024-02-19 18:20)
Other packages that cited DImodelsVis R package
View DImodelsVis citation profile
Other R packages that DImodelsVis depends, imports, suggests or enhances
Complete documentation for DImodelsVis
Functions, R codes and Examples using the DImodelsVis R package
Full DImodelsVis package functions and examples
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