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 Neumann [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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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