steepness: Testing Steepness of Dominance Hierarchies
steepness is a package that 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.
- David Leiva <email@example.com> & Han de Vries <J.deVries1@uu.nl>.
- Date of publication
- 2014-10-01 07:28:10
- David Leiva <firstname.lastname@example.org>
- GPL (>= 2)
- Dyadic dominance index corrected for chance -Dij-
- David's scores -DS-
- Normalized David's scores -NormDS-
- Ordered matrix according to NormDS values
- Matrix of win proportions -Pij-
- Steepness measure of dominance hierarchies -Stp-
- Win-loss measures at individual level
- Statistical significance for steepness of dominance...
Files in this package