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steepness (version 0.3-0)

Testing Steepness of Dominance Hierarchies

Description

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.

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Version

Install

install.packages('steepness')

Monthly Downloads

286

Version

0.3-0

License

GPL (>= 2)

Maintainer

David Leiva

Last Published

May 6th, 2022

Functions in steepness (0.3-0)

getwl

Win-loss measures at individual level
steepness-package

Testing Steepness of Dominance Hierarchies
steeptest

Statistical significance for steepness of dominance hierarchies statistic
getOrderedMatrix

Ordered matrix according to NormDS values
getNormDS

Normalized David's scores -NormDS-
getStp

Steepness measure of dominance hierarchies -Stp-
getPij

Matrix of win proportions -Pij-
getDij

Dyadic dominance index corrected for chance -Dij-
getDS

David's scores -DS-