prep_data_for_rstan

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

prep_data_for_rstan function

<dl><dt>mat</dt>
<dd>square interaction matrix</dd>
<dt>n_rand</dt>
<dd>numeric, number of randomizations</dd>
<dt>silent</dt>
<dd>logical, omit printing messages regarding non-fatal data
issues. Default is <code>FALSE</code>, i.e. do print messages.</dd>
<dt>for_elo_model</dt>
<dd>logical, output ready for Elo steepness (default,
<code>TRUE</code>). If <code>FALSE</code>, prep for David's score steepness.</dd></dl>

Arguments

prepare data for stan call — prep_data_for_rstan

<dl>

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


<dt>n_rand</dt>
<dd>numeric, number of randomizations</dd>


<dt>silent</dt>
<dd>logical, omit printing messages regarding non-fatal data
issues. Default is <code>FALSE</code>, i.e. do print messages.</dd>


<dt>for_elo_model</dt>
<dd>logical, output ready for Elo steepness (default,
<code>TRUE</code>). If <code>FALSE</code>, prep for David's score steepness.</dd>

</dl>

prep_data_for_rstan: prepare data for stan call

Description

Usage

Value

Arguments