Package: steepness 0.3-0

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.

Authors:David Leiva <[email protected]> & Han de Vries <[email protected]>.

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steepness.pdf |steepness.html
steepness/json (API)
NEWS

# Install 'steepness' in R:
install.packages('steepness', repos = c('https://dleivaur79.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.18 score 1 stars 15 scripts 194 downloads 8 exports 0 dependencies

Last updated 3 years agofrom:d48d9bb360. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 17 2024
R-4.5-win-x86_64OKOct 17 2024
R-4.5-linux-x86_64OKOct 17 2024
R-4.4-win-x86_64OKOct 17 2024
R-4.4-mac-x86_64OKOct 17 2024
R-4.4-mac-aarch64OKOct 17 2024
R-4.3-win-x86_64OKOct 17 2024
R-4.3-mac-x86_64OKOct 17 2024
R-4.3-mac-aarch64OKOct 17 2024

Exports:getDijgetDSgetNormDSgetOrderedMatrixgetPijgetStpgetwlsteeptest

Dependencies: