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EloSteepness needs rptR (through aniDom), which CRAN will archive unless its check problems are fixed by Nov 14.

EloSteepness

0.5.0Package record

Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores

0packages depend
3.8Kdownloads / year
59.1%test coverage
13/13flavors OK

Overview

About

Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2023) doi:10.1111/2041-210X.14021). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.

Install

Health

CRAN checks
13OK
Slowest check: 21.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-29
  • ERROR12 OK, 1 ERROR2026-07-27
  • OK13 OK2026-06-09
Show 5 earlier changesHide 5 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.5.0
READMEYes · 820 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
19includes a package overview page
Examples that run
86%12 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
5%
Vignettes (1)

Downloads

3.8K
CRAN downloads in the past year
Rank #14,126 · ~10/day · ~314/mo
Daily download trend is not available in this view yet.
28630 days
84690 days
3.8K1 year
Compare downloads with other packages →
Also on361 r2u5 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
2Releases
70Commits
2Commit identities
70 commits · Last activity 2025-10-03 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
0
Median days to close, 50 most recently updated closed PRs
12

Stars over time

2026-05-19 · 12026-07-07 · 1
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/gobbios/elosteepness on 2026-10-25.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Coverage (1)
Coverage reporting
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing EloSteepness adds 64 packages (32 with compiled code, 57 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, lme4 4.3 MB.

Depends (2)
R >= 3.5.0EloRating
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.4.5 (2022)
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.5.0Latest
    record
    2023-09-21 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.4.7
    record
    2022-12-20 · diff ↗
  • 0.4.6
    record
    2022-10-12 · diff ↗
  • 0.4.5
    record
    2022-08-18
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-08-18
Total releases
4 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Download size
892 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EloSteepness")
Neumann, C. (2023). EloSteepness: Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores (Version 0.5.0) [Computer software]. https://doi.org/10.32614/CRAN.package.EloSteepness

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 EloSteepness version 0.5.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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