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DImodels

1.3.3Package record

Diversity-Interactions (DI) Models

2packages depend
3.9Kdownloads / year
96.0%test coverage
13/13flavors OK

Overview

About

The 'DImodels' package is suitable for analysing data from biodiversity and ecosystem function studies using the Diversity-Interactions (DI) modelling approach introduced by Kirwan et al. (2009) doi:10.1890/08-1684.1. Suitable data will contain proportions for each species and a community-level response variable, and may also include additional factors, such as blocks or treatments. The package can perform data manipulation tasks, such as computing pairwise interactions (the DI_data() function), can perform an automated model selection process (the autoDI() function) and has the flexibility to fit a wide range of user-defined DI models (the DI() function).

Install

Health

CRAN checks
13OK
Slowest check: 4.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.3
READMEYes · 2,494 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsiteYes
Help pages
26includes a package overview page
Examples that run
100%24 run in a plain check
Exported functions with examples
100%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
92%
Vignettes (1)

Downloads

3.9K
CRAN downloads in the past year
Rank #10,262 · ~11/day · ~328/mo
Daily download trend is not available in this view yet.
51430 days
97790 days
3.9K1 year
Compare downloads with other packages →
Also on87 r2u10 autocran

Repository

2Stars
0Forks
0Open issues
0Open PRs
1Releases
31Commits
4Commit identities
31 commits · Last activity 2026-10-13 · 0% stars, 30d · Default branch at 1.4.1.9000, ahead of CRAN 1.3.3 (checked 2026-10-11)
Responsiveness
How these are sampled
PRs merged (all time)
0%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
59

Stars over time

2025-02-06 · 22026-07-07 · 2
PracticesBeta

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

Checks run against github.com/rafamoral/dimodels on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Coverage (1)
Coverage reporting (Codecov)
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing DImodels adds 25 packages (10 with compiled code, 26 MB of source tarballs). Heaviest: TH.data 8.2 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (1)
R >= 3.6.0
Imports (9)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (4)
Author, Maintainer since 1.0 (2020)
Contributor · added in 1.2
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.3Latest
    record
    2025-08-19 · current release · diff ↗ ·
    added 2 exports
    contrast_matrix, compare_communities
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.3.2
    record
    2024-02-28 · diff ↗
  • 1.3.1
    record
    2024-01-24 · diff ↗ ·
    added 1 export
    describe_model
  • 1.3
    record
    2023-11-22 · diff ↗
  • 1.2.1
    record
    2023-05-22 · diff ↗ ·
    added 1 export
    richness_vs_DI
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2
    record
    2022-11-25 · diff ↗ ·
    added 1 export
    contrasts_DI
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1
    record
    2021-06-25 · diff ↗ ·
    added 3 exports
    DI_data, update_DI, extract
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0
    record
    2020-10-01
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-10-01
Total releases
8 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.6.0
Bundled data
34 KB / 11 files
Download size
210 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("DImodels")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1111/2041-210x.14158, 10.1890/08-1684.1.

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 DImodels version 1.3.3 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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