CRAN/E | DImodelsVis

DImodelsVis

Visualising and Interpreting Statistical Models Fit to Compositional Data

Installation

About

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.

rishvish.github.io/DImodelsVis/

Key Metrics

Version 1.0.1
Published 2024-02-26 51 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks DImodelsVis results
Language en-US

Downloads

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Maintainer

Maintainer

Rishabh Vishwakarma

vishwakr@tcd.ie

Authors

Rishabh Vishwakarma

aut / cre

Caroline Brophy

aut

Laura Byrne

aut

Catherine Hurley

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Using DImodelsVis with regression models not fit using the DImodels package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DImodelsVis archive

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