Inferring Longitudinal Dominance Hierarchies

Provides functions for inferring longitudinal dominance hierarchies, which describe dominance relationships and their dynamics in a single latent hierarchy over time. Strauss & Holekamp (in press).


DOI

Overview

This package provides functions for inferring longitudinal dominance hierarchies, which describe dominance relationships and their dynamics in a single latent hierarchy over time. The package includes functions to implement the multiple ranking methods and associated support functions.

informed_matreorder Implements Informed MatReorder method
informed_elo Implements Informed Elo-rating method
informed_ds Implements Informed David's Score method
get_dynamics Calculates dynamics for a longitudinal hierarchy
plot_ranks Visualize longitudinal hierarchy
dyadic_similarity Compare two rank orders
get_edgelist Convert data from matrix to edgelist
edgelist_to_matrix Convert data from edgelist to matrix
C.crocuta.female Example data from female spotted hyenas
C.crocuta.male Example data from male spotted hyenas

Usage
data(C.crocuta.female)
 
informed_matreorder(contestants = C.crocuta.female$contestants, convention = 'mri', n = 5, shuffles = 10, require.corroboration = TRUE, initial.ranks = C.crocuta.female$initial.ranks, interactions = C.crocuta.female$interactions)
 

News

DynaRankR

January 2nd, 2019 - This is the first release of DynaRankR.

Reference manual

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install.packages("DynaRankR")

1.0.0 by Eli D. Strauss, 9 months ago


Browse source code at https://github.com/cran/DynaRankR


Authors: Eli D. Strauss


Documentation:   PDF Manual  


GPL-2 license


Imports dplyr, rlang

Suggests testthat


See at CRAN