Package: EloSteepness
Title: Bayesian Dominance Hierarchy Steepness via Elo Rating and
        David's Scores
Version: 0.5.0
Date: 2023-09-21
Authors@R: c(
  person(given="Christof", 
         family="Neumann", 
         role=c("aut", "cre"),
         email="christofneumann1@gmail.com",
         comment=c(ORCID="0000-0002-0236-1219"))
  )
Maintainer: Christof Neumann <christofneumann1@gmail.com>
Description: 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. 
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.2.3
Biarch: true
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)
SystemRequirements: GNU make
Suggests: rmarkdown, bookdown, xtable, knitr, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://github.com/gobbios/EloSteepness
BugReports: https://github.com/gobbios/EloSteepness/issues
NeedsCompilation: yes
Packaged: 2023-09-20 21:59:13 UTC; cneumann
Author: Christof Neumann [aut, cre] (<https://orcid.org/0000-0002-0236-1219>)
Repository: CRAN
Date/Publication: 2023-09-21 00:00:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-01-07 08:29:55 UTC; windows
Archs: x64
