DLEIVA/steepness: Testing Steepness of Dominance Hierarchies

The steepness package computes steepness as a property of dominance hierarchies. Steepness is defined as the absolute slope of the straight line fitted to the normalized David's scores. The normalized David's scores can be obtained on the basis of dyadic dominance indices corrected for chance or by means of proportions of wins. Given an observed sociomatrix, it computes hierarchy's steepness and estimates statistical significance by means of a randomization test.

Getting started

Package details

AuthorDavid Leiva <dleivaur@ub.edu> & Han de Vries <J.deVries1@uu.nl>.
MaintainerDavid Leiva <dleivaur@ub.edu>
LicenseGPL (>= 2)
Version0.3-0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("DLEIVA/steepness")
DLEIVA/steepness documentation built on May 13, 2022, 8:05 p.m.