Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores R package EloSteepness version 0.5.0 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. Software 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) Christof Neumann <christofneumann1@gmail.com> Comprehensive R Archive Network (CRAN) Christof Neumann [aut, cre] (ORCID: <https://orcid.org/0000-0002-0236-1219>) GPL (>= 2) 2023-09-21 application/tgz https://CRAN.R-project.org/package=EloSteepness doi:10.32614/CRAN.package.EloSteepness