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EloSteepness: Bayesian Dominance Hierarchy Steepness via Elo Rating and David'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 Neumann ORCID 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.pdf
Vignettes: tutorial

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 form https://CRAN.R-project.org/package=EloSteepness to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.