aniDom-package: Inferring Dominance Hierarchies and Estimating Uncertainty

In aniDom: Inferring Dominance Hierarchies and Estimating Uncertainty

Description

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.

Details

Package:	aniDom
Type:	Package
Version:	0.1.5
Date:	2021-03-06
License:	GPL-2

Author(s)

Written by Damien R. Farine and Alfredo Sanchez-Tojar

Maintainer: Damien R. Farine <[e-mail]>

References

Sanchez-Tojar, A., Schroeder, J., Farine, D.R. (in prep) Methods for inferring dominance hierarchies and estimating their uncertainty.

Examples

# Generate data
data <- generate_interactions(N.inds=10,N.obs=20,a=5,b=3)

# Extract interactions
winners <- data$interactions$Winner
losers <- data$interactions$Loser

# Calculate Elo scores with randomised order
scores <- elo_scores(winners=winners,losers=losers,randomise=TRUE,n.rands=1000)

# Plot ranks
plot_ranks(scores,plot.CIs=TRUE)

# Plot hierachy shape
plot_hierarchy_shape(identity=1:nrow(scores),rank=1:nrow(scores),
	winners=winners,losers=losers,fitted=TRUE)

aniDom documentation built on March 7, 2021, 1:07 a.m.