LC2012

<p>Liberal-Conservative 7-point scales from the 2012 National Election Study. Includes
(in order) original case id, self-placement, and rankings of Obama, Romney, Democratic Party,
Republican party. Missing values are coded as NA.</p>

datasets

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'

LC2012 function

<p>An object of class <code>data.frame</code> with 5914 rows and 6 columns.</p>

LC2012: 2012 Liberal-Conservative Scales

Description

Usage

Arguments

Format

Examples