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DImodelsVis

1.0.5

Visualising and Interpreting Statistical Models Fit to Compositional Data

1packages depend
3.7Kdownloads / year
99.1%test coverage
13/13checks pass

Overview

About
Maintained by Rishabh VishwakarmaFirst published 2024-02-196 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 11.6 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 3.51
99.1%
Coverage · measured lines
100%
Documentation · exports
20
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 2,136 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
3%

Downloads

3.7K
CRAN downloads in the past year
Rank #12,503 · ~10/day · ~310/mo
Daily download trend is not available in this view yet.
18230 days
79890 days
3.7K1 year
Compare downloads with other packages →
Also on149 r2u21 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
5Releases
28Commits
1Contributors
License GPL-3.0 · 28 commits · Last activity 2026-06-29

Releases over time

2024-03-01 · 12026-07-07 · 5

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/rishvish/dimodelsvis on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
25 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.0.5Latest
    2026-06-29 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.4
    2025-10-08 · diff ↗
  • 1.0.3
    2025-08-24 · diff ↗
  • 1.0.2
    2025-08-22 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1
    2024-02-26 · diff ↗
  • 1.0.0
    2024-02-19
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-02-19
Total releases
6 / 2 yrs
License
GPL (>= 3) OSI
Download size
2.8 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DImodelsVis")
Vishwakarma, R., Brophy, C., Byrne, L., & Hurley, C. (2026). DImodelsVis: Visualising and Interpreting Statistical Models Fit to Compositional Data (Version 1.0.5) [Computer software]. https://doi.org/10.32614/CRAN.package.DImodelsVis

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DImodelsVis version 1.0.5 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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