show_code

Show Stan code for one of the models in the package.

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'

show_code function

<dl><dt>model</dt>
<dd>Character: Name of the model to show. Defaults to "HBAM". See the documentation for the <code>hbam()</code> function for a list of the available models.</dd></dl>

Arguments

Show the code for an HBAM or FBAM model — show_code

<dl>

<dt>model</dt>
<dd>Character: Name of the model to show. Defaults to "HBAM". See the documentation for the <code>hbam()</code> function for a list of the available models.</dd>

</dl>

show_code: Show the code for an HBAM or FBAM model

Description

Usage

Value

Arguments

Examples