Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores
Overview
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
- 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
Documentation
- 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%
Downloads
Repository
- 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
Releases over time
Issues over time
PRs over time
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.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
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.
CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.
Code & Tests
People & History
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")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.
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.