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 results |