repeatability_steepness

steepness via repeatability (cf aniDom package)

Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2023) <doi:10.1111/2041-210X.14021>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.

Christof Neumann

EloSteepness

Bayesian Dominance Hierarchy Steepness via Elo Rating and
David's Scores

repeatability_steepness function

<dl><dt>mat</dt>
<dd>square interaction matrix</dd>
<dt>n_rand</dt>
<dd>numeric, number of randomized sequences
(default is <code>1000</code>)</dd></dl>

Arguments

steepness via repeatability (cf aniDom package) — repeatability_steepness

<dl>

<dt>mat</dt>
<dd>square interaction matrix</dd>


<dt>n_rand</dt>
<dd>numeric, number of randomized sequences
(default is <code>1000</code>)</dd>

</dl>

repeatability_steepness: steepness via repeatability (cf aniDom package)

Description

Usage

Value

Arguments

References

Examples