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steepness
View on CRAN: Click
here
Download and install steepness package within the R console
Install from CRAN:
install.packages("steepness")
Install from Github:
library("remotes")
install_github("cran/steepness")
Install by package version:
library("remotes")
install_version("steepness", "0.3-0")
Attach the package and use:
library("steepness")
Maintained by
David Leiva
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-03-26
Latest Update: 2022-05-06
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.
How to cite:
David Leiva (2010). steepness: Testing Steepness of Dominance Hierarchies. R package version 0.3-0, https://cran.r-project.org/web/packages/steepness
Previous versions and publish date:
Other packages that cited steepness R package
View steepness citation profile
Other R packages that steepness depends,
imports, suggests or enhances
Functions, R codes and Examples using
the steepness R package
Some associated functions: getDS . getDij . getNormDS . getOrderedMatrix . getPij . getStp . getwl . steeptest .
Some associated R codes: getDS.R . getDij.R . getNormDS.R . getOrderedMatrix.R . getPij.R . getStp.R . getwl.R . plot.steeptest.R . print.steeptest.R . steeptest.R . summary.steeptest.R . zzz.R . Full steepness package functions and examples
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