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EloSteepness: Bayesian Dominance Hierarchy Steepness via Elo Rating andDavid's Scores

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.

Version:0.5.0
Depends:R (≥ 3.5.0),EloRating
Imports:methods,Rcpp (≥ 0.12.0),RcppParallel (≥ 5.0.1),rstan (≥2.26.0),rstantools (≥ 2.1.1),aniDom
LinkingTo:BH (≥ 1.66.0),Rcpp (≥ 0.12.0),RcppEigen (≥ 0.3.3.3.0),RcppParallel (≥ 5.0.1),rstan (≥ 2.26.0),StanHeaders (≥2.26.0)
Suggests:rmarkdown,bookdown,xtable,knitr,testthat (≥ 3.0.0)
Published:2023-09-21
DOI:10.32614/CRAN.package.EloSteepness
Author:Christof NeumannORCID iD [aut, cre]
Maintainer:Christof Neumann <christofneumann1 at gmail.com>
BugReports:https://github.com/gobbios/EloSteepness/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/gobbios/EloSteepness
NeedsCompilation:yes
SystemRequirements:GNU make
Materials:README
CRAN checks:EloSteepness results

Documentation:

Reference manual:EloSteepness.html ,EloSteepness.pdf
Vignettes:tutorial (source,R code)

Downloads:

Package source: EloSteepness_0.5.0.tar.gz
Windows binaries: r-devel:EloSteepness_0.5.0.zip, r-release:EloSteepness_0.5.0.zip, r-oldrel:EloSteepness_0.5.0.zip
macOS binaries: r-release (arm64):EloSteepness_0.5.0.tgz, r-oldrel (arm64):EloSteepness_0.5.0.tgz, r-release (x86_64):EloSteepness_0.5.0.tgz, r-oldrel (x86_64):EloSteepness_0.5.0.tgz
Old sources: EloSteepness archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=EloSteepnessto link to this page.


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