Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2022) <doi:10.1101/2022.01.28.478016>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.
| Version: |
0.4.5 |
| Depends: |
R (≥ 3.5.0), EloRating |
| Imports: |
methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥
2.18.1), 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 (≥ 2.18.1), StanHeaders (≥
2.18.0) |
| Suggests: |
rmarkdown, bookdown, xtable, knitr, testthat (≥ 3.0.0) |
| Published: |
2022-08-18 |
| 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 |