Animal Dominance Hierarchies by Elo Rating
linearity indices
Clutton-Brock et al 1979 index (CBI)
coresidence summary
correctly predicted outcomes
create a dominance matrix
calculate start values from prior knowledge
Directional Consistency Index
difference matrix
calculate Elo ratings
number of inconsistencies
strength of inconsistencies
David's score
dyadic dominance relations
changes in dyadic relationships
Elo ratings for a single interaction
calculate Elo ratings
Elo rating plots
tools:::Rd_package_title("EloRating")
extract Elo ratings from elo object
heatmap
number and strength of inconsistencies
individuals present in the group
de Vries' I&SI ranking
ISI ranks
last day an individual was present
(log) likelihood of Elo-rating model
matrix to sequence conversion
optimize the k parameter
optimize start values
Summarize presence data
prints its argument
prints its argument
prints its argument
unknown relationships
calculate Elo ratings from an interaction matrix
extract ratings from random sequences based on an interaction matrix
random dominance interaction sequence
standardize Elo ratings
runs raw data diagnostics for Elo rating
simple dominance indices
stability index S
hierarchy steepness based on David's scores
summarize elo object
calculate dominance trajectory
triangle transitivity
expected winning probability
Provides functions to quantify animal dominance hierarchies. The major focus is on Elo rating and its ability to deal with temporal dynamics in dominance interaction sequences. For static data, David's score and de Vries' I&SI are also implemented. In addition, the package provides functions to assess transitivity, linearity and stability of dominance networks. See Neumann et al (2011) <doi:10.1016/j.anbehav.2011.07.016> for an introduction.