plot_stimuli

Plot marginal posterior distributions of stimulus positions from an HBAM model

Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte
Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the ideological
positions of survey respondents and political actors on a common scale using positional survey
data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform
other versions both in terms of yielding meaningful posterior distributions for respondent
positions and in terms of recovering true respondent positions in simulations. The package
contains functions for preparing data, fitting models, extracting estimates, plotting key
results, and comparing models using cross-validation. The original version of the default
model is described in Bølstad (2024) <doi:10.1017/pan.2023.18>.

Jørgen Bølstad

hbamr

Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'

plot_stimuli function

<dl><dt>object</dt>
<dd>An instance of class <code>stanfit</code> produced by <code>hbam()</code>.</dd>
<dt>rev_color</dt>
<dd>Logical: Display low positions as red and high positions as blue.</dd>
<dt>alpha</dt>
<dd>Number in [0,1]: Inverse level of transparency for fill color.</dd></dl>

Arguments

Plot estimated stimulus positions — plot_stimuli

<dl>

<dt>object</dt>
<dd>An instance of class <code>stanfit</code> produced by <code>hbam()</code>.</dd>


<dt>rev_color</dt>
<dd>Logical: Display low positions as red and high positions as blue.</dd>


<dt>alpha</dt>
<dd>Number in [0,1]: Inverse level of transparency for fill color.</dd>

</dl>

plot_stimuli: Plot estimated stimulus positions

Description

Usage

Value

Arguments