Package: DImodelsVis 1.0.4

Rishabh Vishwakarma

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.

Authors:Rishabh Vishwakarma [aut, cre], Caroline Brophy [aut], Laura Byrne [aut], Catherine Hurley [aut]

DImodelsVis_1.0.4.tar.gz
DImodelsVis_1.0.4.zip(r-4.7)DImodelsVis_1.0.4.zip(r-4.6)DImodelsVis_1.0.4.zip(r-4.5)
DImodelsVis_1.0.4.tgz(r-4.6-any)DImodelsVis_1.0.4.tgz(r-4.5-any)
DImodelsVis_1.0.4.tar.gz(r-4.7-any)DImodelsVis_1.0.4.tar.gz(r-4.6-any)
DImodelsVis_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DImodelsVis/json (API)
NEWS

# Install 'DImodelsVis' in R:

install.packages('DImodelsVis', repos = c('https://rishvish.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rishvish/dimodelsvis/issues

Pkgdown/docs site:https://rishvish.github.io

On CRAN:

5.18 score 20 scripts 276 downloads 39 exports 111 dependencies

Last updated from:cc200d979d. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	296
source / vignettes	OK	301
linux-release-x86_64	OK	287
macos-release-arm64	OK	225
macos-oldrel-arm64	OK	352
windows-devel	OK	259
windows-release	OK	244
windows-oldrel	OK	260
wasm-release	OK	158

Exports:add_add_var add_ID_terms add_interaction_terms add_prediction conditional_ternary conditional_ternary_data conditional_ternary_plot copy_attributes custom_filter get_colours get_equi_comms get_shades gradient_change gradient_change_data gradient_change_plot group_prop grouped_ternary grouped_ternary_data grouped_ternary_plot model_diagnostics model_diagnostics_data model_diagnostics_plot model_selection model_selection_data model_selection_plot prediction_contributions prediction_contributions_data prediction_contributions_plot prop_to_tern_proj simplex_path simplex_path_data simplex_path_plot tern_to_prop_proj ternary_data ternary_plot theme_DI visualise_effects visualise_effects_data visualise_effects_plot

Dependencies:backports base64enc bslib cachem checkmate class classInt cli codetools colorspace commonmark cpp11 curl data.table DBI digest DImodels dplyr e1071 evaluate farver fastmap fontawesome fontBitstreamVera fontLiberation fontquiver forcats Formula formula.tools fs gdtools generics ggforce ggfortify ggiraph ggplot2 ggtext glue gridExtra gridtext gtable highr hnp htmltools htmlwidgets insight isoband jpeg jquerylib jsonlite KernSmooth knitr labeling lattice lifecycle litedown lubridate magrittr markdown MASS Matrix memoise metR mime multcomp multcompView mvtnorm operator.tools PieGlyph pillar pkgconfig plotwidgets plyr png polyclip proxy purrr R6 rappdirs RColorBrewer Rcpp rlang rmarkdown rootSolve s2 S7 sandwich sass scales sf stringi stringr survival systemfonts TH.data tibble tidyr tidyselect timechange tinytex tweenr units utf8 vctrs viridisLite withr wk xfun xml2 yaml zoo

DImodelsVis with black-box models

Rendered fromDImodelsVis-with-black-box-models.Rmdusingknitr::rmarkdownon May 09 2026.

Last update: 2025-10-09
Started: 2025-10-03

DImodelsVis with regression models fit using the DImodelsMulti R package

Rendered fromDImodelsVis-with-DImodelsMulti-models.Rmdusingknitr::rmarkdownon May 09 2026.

Last update: 2025-10-09
Started: 2025-07-18

DImodelsVis with regression models not fit using the DImodels package

Rendered fromDImodelsVis-with-complex-models.Rmdusingknitr::rmarkdownon May 09 2026.

Last update: 2025-10-09
Started: 2024-01-29

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add additional variables to data via cartesian product	add_add_var
Add identity and interaction terms used in a Diversity-Interactions (DI) model to new data	add_ID_terms add_interaction_terms
Add predictions and uncertainty interval to data using either a model object or model coefficients.	add_prediction
DI specific wrapper for conditional ternary diagrams	conditional_ternary
Data preparation for conditional ternary diagrams	conditional_ternary_data
Conditional ternary diagrams	conditional_ternary_plot
Copy attributes from one object to another	copy_attributes
Special custom filtering for compositional data	custom_filter
Return colour-blind friendly colours	get_colours
Get all equi-proportional communities at specific levels of richness	get_equi_comms
Returns shades of colours	get_shades
DI specific wrapper for visualising change in response over diversity gradient	gradient_change
Data preparation for visualising change in response over diversity gradient	gradient_change_data
Visualise change in response over diversity gradient	gradient_change_plot
Combine variable proportions into groups	group_prop
DI specific wrapper for grouped ternary diagrams	grouped_ternary
Prepare data for grouped ternary diagrams	grouped_ternary_data
Grouped ternary diagrams	grouped_ternary_plot
DI specific wrapper of diagnostics plots for regression models with compositional predictors	model_diagnostics
Data preparation of diagnostics plots for regression models with compositional predictors	model_diagnostics_data
Diagnostics plots for regression models with compositional predictors	model_diagnostics_plot
DI specific wrapper for visualising model selection	model_selection
Prepare data for visualising model selection	model_selection_data
Visualise model selection	model_selection_plot
Model term contributions to predicted response	prediction_contributions
Model term contributions to predicted response	prediction_contributions_data
Visualise model term contributions to predicted response	prediction_contributions_plot
Project 3-d compositional data onto x-y plane and vice versa	prop_to_tern_proj tern_to_prop_proj
DI specific for visualising change in response across points in the simplex space	simplex_path
Prepare data for visualising change in response across points in the simplex space	simplex_path_data
Visualising change in response across points in the simplex space	simplex_path_plot
Prepare data for showing contours in ternary diagrams.	ternary_data
Ternary diagrams	ternary_plot
Default theme for DImodelsVis	theme_DI
DI specific wrapper of effects plot for compositional variables	visualise_effects
Prepare data for effects plots of compositional predictors	visualise_effects_data
Effects plot for compositional predictors	visualise_effects_plot