Package: aniDom 0.1.5
Damien R. Farine
aniDom: Inferring Dominance Hierarchies and Estimating Uncertainty
Provides: (1) Tools to infer dominance hierarchies based on calculating Elo scores, but with custom functions to improve estimates in animals with relatively stable dominance ranks. (2) Tools to plot the shape of the dominance hierarchy and estimate the uncertainty of a given data set.
Authors:
aniDom_0.1.5.tar.gz
aniDom_0.1.5.tar.gz(r-4.5-noble)aniDom_0.1.5.tar.gz(r-4.4-noble)
aniDom_0.1.5.tgz(r-4.4-emscripten)aniDom_0.1.5.tgz(r-4.3-emscripten)
aniDom.pdf |aniDom.html✨
aniDom/json (API)
| # Install 'aniDom' in R: |
| install.packages('aniDom', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:cb39e08260. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 24 2025 |
| R-4.5-linux | OK | Jan 24 2025 |
Exports:elo_scoresestimate_uncertainty_by_repeatabilityestimate_uncertainty_by_splittinggenerate_interactionsplot_hierarchy_shapeplot_ranksplot_trajectoriesplot_winner_prob
Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrpbapplyrbibutilsRcppRcppEigenRdpackreformulasrptR
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Inferring Dominance Hierarchies and Estimating Uncertainty | aniDom-package aniDom |
| Calculate Elo scores (with or without time randomisations) | elo_scores |
| Calculate the repeatability score of ranks from randomisations of the interaction orders. | estimate_uncertainty_by_repeatability |
| Calculate the repeatability score of ranks by splitting the observed data in half. | estimate_uncertainty_by_splitting |
| Generate simulated interactions with differently-shaped hierarchies | generate_interactions |
| Plots the shape of a dominance hierarchy from empirical data | plot_hierarchy_shape |
| Plot the ranking of individuals | plot_ranks |
| Plot the Elo trajectories of individuals | plot_trajectories |
| Plot the shape of the hierarchy given some input parameters | plot_winner_prob |